Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-23T14:47:12.072Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  21 April 2022

Hamed Mohsenian-Rad
Affiliation:
University of California, Riverside
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Smart Grid Sensors
Principles and Applications
, pp. 297 - 326
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Momoh, J., Smart Grid: Fundamentals of Design and Analysis. Hoboken, NJ: John Wiley and Sons, 2012.CrossRefGoogle Scholar
[2]Bush, S.F., Smart Grid: Communication-Enabled Intelligence for the Electric Power Grid. Hoboken, NJ: Wiley-IEEE, 2014.Google Scholar
[3]Masters, G. M., Renewable and Efficient Electric Power Systems, 2nd ed. Hoboken, NJ: John Wiley and Sons, 2013.Google Scholar
[4]Buchholz, B. M. and Styczynski, Z., Smart Grids–Fundamentals and Technologies in Electricity Networks. Berlin, Germany: Springer, 2014.Google Scholar
[5]Sioshansi, F.P., Smart Grid: Integrating Renewable, Distributed and Efficient Energy. Waltham, MA: Elsevier, 2012.Google Scholar
[6]Keyhani, A., Design of Smart Power Grid Renewable Energy Systems, 2nd ed. Hoboken, NJ: John Wiley and Sons, 2017.Google Scholar
[7]Budka, K. C., Deshpande, J. G., and Thottan, M., Communication Networks for Smart Grids. London, UK: Springer, 2014.CrossRefGoogle Scholar
[8]Farhangi, H., “The Path of the Smart Grid,IEEE Power and Energy Society Magazine, vol. 8, no. 1, pp. 1828, Jan. 2010.CrossRefGoogle Scholar
[9]Ipakchi, A. and Albuyeh, F., “Grid of the Future,IEEE Power and Energy Society Magazine, vol. 7, no. 2, pp. 5262, Mar. 2009.Google Scholar
[10]Amin, S. M. and Wollenberg, B. F., “Toward a Smart Grid: Power Delivery for the 21st Century,IEEE Power and Energy Society Magazine, vol. 3, no. 5, pp. 3441, Sep. 2005.Google Scholar
[11]Farhangi, H., “A Road Map to Integration: Perspectives on Smart Grid Development,IEEE Power and Energy Society Magazine, vol. 12, no. 3, pp. 5266, May 2014.Google Scholar
[12]Bergen, A. R. and Vittal, V., Power System Analysis, 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2000.Google Scholar
[13]Glover, J. D., Overbye, T., and Sarma, M. S., Power System Analysis and Design, 6th ed. Boston, MA: Cengage Learning, 2016.Google Scholar
[14]Momoh, J., Electric Power Distribution, Automation, Protection, and Control. Boca Raton, FL: CRC Press, 2008.Google Scholar
[15]Wood, A. J., Wollenberg, B. F., and Sheblé, G. B., Power Generation, Operation, and Control, ed. New York, NY: John Wiley and Sons, 2013.Google Scholar
[16]U.S. Department of Energy, “What Is the Smart Grid?” www.smartgrid.gov/the_smart_grid/.Google Scholar
[17]U.S. Department of Energy, “The Smart Grid: An Introduction,” Sep. 2008. www.energy.gov/oe/downloads/smart-grid-introduction-0.Google Scholar
[18]European Commission, “Smart Grids,” Feb. 2020. https://s3platform.jrc.ec.europa.seu/smart-grids.Google Scholar
[20]The Chinese Central Government’s Official Web Portal, “State Grid: Complete a Unified Strong Smart Grid in 2020,” May 2009. www.gov.cn/jrzg/2009-05/21/content_1321530.htm.Google Scholar
[21]IEEE Smart Grid, “What Is the Smart Grid?” 2015. https://smartgrid.ieee.org/about-ieee-smart-grid.Google Scholar
[22]National Institute of Standards and Technology, “Smart Grid,” 2021. https://www.nist.gov/el/smart-grid.Google Scholar
[23]Electric Power Research Institute, “Smart Grid Resource Center,” 2020. https://smartgrid.epri.com/.Google Scholar
[24]The Institution of Engineering and Technology, “What is a Smart Grid?” 2013. www.theiet.org/media/1251/smart-grids.pdf.Google Scholar
[25]United States Congress, “H.R. 6 Energy Independence and Security Act of 2007,” Jan. 2017. www.congress.gov/bill/110th-congress/house-bill/6.Google Scholar
[26]U.S. Department of Energy, “Large Power Transformers and the U.S. Electric Grid,” Apr. 2014. www.energy.gov/sites/prod/files/2014/04/f15/LPTStudyUpdate-040914.pdf.Google Scholar
[27]Lamarre, L., “Problems with Power Quality,EPRI Journal, pp. 1423, Jul. 1991.Google Scholar
[28]American National Standards Institute, “ANSI C84.1-2016: American National Standard for Electric Power Systems and Equipment–Voltage Ratings (60 Hz).” New York, NY: American National Standards Institute, 2016.Google Scholar
[29]Zhang, Y., Rahbari-Asr, N., Duan, J., and Chow, M.-Y., “Day-Ahead Smart Grid Cooperative Distributed Energy Scheduling with Renewable and Storage Integration,IEEE Transactions on Sustainable Energy, vol. 7, no. 4, pp. 17391748, Oct. 2016.CrossRefGoogle Scholar
[30]Giani, A., Bitar, E., Garcia, M., McQueen, M., Khargonekar, P., and Poolla, K., “Smart Grid Data Integrity Attacks,IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 12441253, Sep. 2013.Google Scholar
[31]Mohsenian-Rad, H., “Coordinated Price-Maker Operation of Large Energy Storage Systems in Nodal Energy Markets,IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 786797, Jan. 2016.Google Scholar
[32]Garces, A., “A Linear Three-Phase Load Flow for Power Distribution Systems,IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 827828, Jan. 2016.CrossRefGoogle Scholar
[33]Baran, M. E. and Wu, F. F., “Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing,IEEE Transactions on Power Delivery, vol. 4, no. 2, pp. 14011407, Apr. 1989.Google Scholar
[34]MathWorks, “Help Center–solve.” www.mathworks.com/help/optim/ug/fsolve.html.Google Scholar
[35]International Energy Agency, “Electricity Statistics,” Dec. 2019. www.iea.org/data-and-statistics/data-product/monthly-electricity-statistics.Google Scholar
[36]California Energy Commission, “2018 Total System Electric Generation in Gigawatt Hours,” www.energy.ca.gov/data-reports/energy-almanac/california-electricity-data/2019-total-system-electric-generation/2018.Google Scholar
[37]Twidell, J. and Weir, T., Renewable Energy Resources. New York, NY: E & FN Spon, 2015.Google Scholar
[38]Bhattacharya, S., Design of Foundations for Offshore Wind Turbines. Hoboken, NJ: Wiley, Apr. 2019.CrossRefGoogle Scholar
[39]Power Technology, “Alta Wind Energy Center (AWEC), California.” www.power-technology.com/projects/alta-wind-energy-center-awec-california/.Google Scholar
[41]Driesen, J. and Katiraei, F., “Design for Distributed Energy Resources,IEEE Power and Energy Magazine, vol. 6, no. 3, pp. 3040, May 2008.Google Scholar
[42]Han, X., Heussen, K., Gehrke, O., Bindner, H. W., and Kroposki, B., “Taxonomy for Evaluation of Distributed Control Strategies for Distributed Energy Resources,IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 51855195, Sep. 2018.CrossRefGoogle Scholar
[43]Basak, P., Chowdhury, S., Nee, S., and Chowdhury, D. S., “A Literature Review on Integration of Distributed Energy Resources in the Perspective of Control, Protection and Stability of Microgrid,Renewable and Sustainable Energy Reviews, vol. 16, no. 8, pp. 55455556, Oct. 2012.CrossRefGoogle Scholar
[44]Hatziargyriou, N., Asano, H., Iravani, R., and Marnay, C., “Microgrids,IEEE Power and Energy Magazine, vol. 5, no. 4, pp. 7894, Jul. 2007.Google Scholar
[45]Katiraei, F., Iravani, R., Hatziargyrious, N., and Amires, S., “Microgrids: Control and Management,IEEE Power and Energy Magazine, vol. 6, no. 3, pp. 7498, May 2008.Google Scholar
[46]Kroposki, B., Lasseter, R., Ise, T., Morozumi, S., Papathanassiou, S., and Hatziargyriou, N., “Making Microgrids Work,IEEE Power and Energy Magazine, vol. 6, no. 3, pp. 4053, May 2008.Google Scholar
[47]Hatziargyriou, N., Microgrids: Architectures and Control. Chichester, UK: Wiley-IEEE Press, 2014.Google Scholar
[48]Bakshi, U. A. and Bakshi, A. V., Generation, Transmission, and Distribution. Pune, India: Technical Publications, 2009.Google Scholar
[49]Riverside Public Utilities, “Schedule A: General Service and Schedule D: Domestic Service,” www.riversideca.gov/utilities/businesses/rates-electric.asp.Google Scholar
[50]Liu, Y., Qiu, B., Fan, X., Zhu, H., and Han, B., “Review of Smart Home Energy Management Systems,Energy Procedia, vol. 104, pp. 504508, Dec. 2016.CrossRefGoogle Scholar
[51]Althaher, S., Mancarella, P., and Mutale, J., “Automated Demand Response from Home Energy Management System under Dynamic Pricing and Power and Comfort Constraints,IEEE Transactions on Smart Grid, vol. 6, no. 4, pp. 18741883, Jul. 2015.Google Scholar
[52]Tushar, W., Wijerathne, N., Li, W.-T., Yuen, C., Poor, H. V., Saha, T. K., and Wood, K. L., “Internet of Things for Green Building Management: Disruptive Innovations through Low-Cost Sensor Technology and Artificial Intelligence,IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 100110, Sep. 2018.Google Scholar
[53]Yu, M., Hong, S. H., and Kim, J. B., “Incentive-Based Demand Response Approach for Aggregated Demand Side Participation,” in Proceedings of the IEEE International Conference on Smart Grid Communications, Sydney, NSW, Australia, Nov. 2016.CrossRefGoogle Scholar
[54]Zhong, H., Xie, L., and Xia, Q., “Coupon Incentive-Based Demand Response: Theory and Case Study,IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 12661276, May 2013.Google Scholar
[55]Sarker, M. R., Ortega-Vazquez, M. A., and Kirschen, D. S., “Optimal Coordination and Scheduling of Demand Response via Monetary Incentives,IEEE Transactions on Smart Grid, vol. 6, no. 3, pp. 13411352, May 2015.CrossRefGoogle Scholar
[56]Mohsenian-Rad, H., Wong, V., Jatskevich, J., Schober, R., and Leon-Garcia, A., “Autonomous Demand-Side Management Based on Game Theoretic Energy Consumption Scheduling for the Future Smart Grid,IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 320331, Nov. 2010.Google Scholar
[57]Gorzelany, J., “Electric Vehicle Battery Basics.” https://www.myev.com/research/ev-101/electric-vehicle-battery-basics.Google Scholar
[58]Ota, Y., Taniguchi, H., Nakajima, T., Liyanage, K. M., Baba, J., and Yokoyama, A., “Autonomous Distributed V2G (Vehicle-to-Grid) Considering Charging Request and Battery Condition,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, Gothenberg, Sweden, Oct. 2009.Google Scholar
[59]Ota, Y., Taniguchi, H., Nakajima, T., Liyanage, K. M., Baba, J., and Yokoyama, A., “Autonomous Distributed V2G (Vehicle-to-Grid) Satisfying Scheduled Charging,IEEE Transactions on Smart Grid, vol. 3, no. 1, pp. 559564, Mar. 2012.CrossRefGoogle Scholar
[60]Tanguy, K., Dubois, M. R., Lopez, K. L., and Gagné, C., “Optimization Model and Economic Assessment of Collaborative Charging Using Vehicle-to-Building,Sustainable Cities and Society, vol. 26, pp. 496506, Oct. 2016.Google Scholar
[61]California Energy Commission, “Energy Storage,” Aug. 2018. www.energy.ca.gov/sites/default/files/2019-12/energy_storage_ada.pdf.Google Scholar
[62]Rehmana, S., Al-Hadhramia, L. M., and Alam, M. M., “Pumped Hydro Energy Storage System: A Technological Review,Renewable and Sustainable Energy Reviews, vol. 44, pp. 586598, Apr. 2015.Google Scholar
[63]Venkataramani, G., Parankusam, P., Ramalingam, V., and Wang, J., “A Review on Compressed Air Energy Storage – A Pathway for Smart Grid and Polygeneration,Renewable and Sustainable Energy Reviews, vol. 62, pp. 895907, Sep. 2016.Google Scholar
[64]Mousavi, S. M., Faraji, F., Majazi, A., and Al-Haddad, K., “A Comprehensive Review of Flywheel Energy Storage System Technology,Renewable and Sustainable Energy Reviews, vol. 67, pp. 477490, Jan. 2017.CrossRefGoogle Scholar
[65]Arteconi, A., Hewitt, N. J., and Polonara, F., “Domestic Demand-Side Management (DSM): Role of Heat Pumps and Thermal Energy Storage (TES) Systems,Applied Thermal Engineering, vol. 51, no. 1, pp. 155165, Mar. 2013.Google Scholar
[66]Sehar, F., Rahman, S., and Pipattanasomporn, M., “Impacts of Ice Storage on Electrical Energy Consumptions in Office Buildings,Energy and Buildings, vol. 51, pp. 255262, Aug. 2012.Google Scholar
[67]Sparacino, A. R., Reed, G. F., Kerestes, R. J., Grainger, B. M., and Smith, Z. T., “Survey of Battery Energy Storage Systems and Modeling Techniques,” in Proceedings of the IEEE Power and Energy Society General Meeting, San Diego, CA, Jul. 2012.Google Scholar
[68]Abdel-Monem, M., Hegazy, O., Omar, N., Trad, K., den Bossche, P. V., and Mierlo, J. V., “Lithium-Ion Batteries: Comprehensive Technical Analysis of Second-Life Batteries for Smart Grid Applications,” in Proceedings of the European Conference on Power Electronics and Applications, Warsaw, Poland, sep 2017.Google Scholar
[69]Taylor, Z., Akhavan-Hejazi, H., Cortez, E., Alvarez, L., Ula, S., Barth, M., and Mohsenian-Rad, H., “Customer-side SCADA-Assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving,IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 9921004, Jan. 2019.Google Scholar
[70]Jing, W., Lai, C. H., Wong, S. H. W., and Wong, M. L. D., “Supercapacitor Hybrid Energy Storage System in Standalone DC Microgrids: A Review,IET Renewable Power Generation, vol. 11, no. 4, pp. 461469, Mar. 2017.CrossRefGoogle Scholar
[71]Taylor, Z., Akhavan-Hejazi, H., and Mohsenian-Rad, H., “Optimal Operation of Grid-Tied Energy Storage Systems Considering Detailed Device-Level Battery Models,IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 39283941, Jun. 2020.Google Scholar
[72]Akhavan-Hejazi, H., Taylor, Z., and Mohsenian-Rad, H., “Optimal Cell Removal to Enhance Operation of Aged Grid-Tied Battery Storage Systems,IEEE Transactions on Sustainable Energy, vol. 12, no. 1, pp. 739742, Jan. 2021.Google Scholar
[73]Sadeghi-Mobarakeh, A. and Mohsenian-Rad, H., “Performance Accuracy Scores in CAISO and MISO Regulation Markets: A Comparison based on Real Data and Mathematical Analysis,IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 31963198, May 2018.Google Scholar
[74]Bakshi, U. A. and Bakshi, A. V., Electronic and Electrical Measuring Instruments and Machines. Pune, India: Technical Publications, 2009.Google Scholar
[75]Lackovic, V., “Voltage Transformers,” Woodcliff Lake, NJ. www.cedengineering.com/userfiles/Voltage%20Transformers-R1.pdf.Google Scholar
[76]Lindsey Real Time Transmission Conductor Monitor, http://lindsey-usa.com, Mar. 2017.Google Scholar
[77]Houschild, W. and Lemke, E., High Voltage Test and Measuring Techniques. Springer, 2013.Google Scholar
[78]Smith-Vaniz, W. R. and Sieron, R. L., “Apparatus for Measuring the Potential of a Transmission Line Conductor,” U.S. Patent Number 4,714,893.Google Scholar
[79]Cease, T. W. and Johnston, P., “A Magneto-Optic Current Transducer,IEEE Transactions on Power Delivery, vol. 5, pp. 548555, Apr. 1990.Google Scholar
[80]Bohnert, K., Gabus, P., and Brandle, H., “Fiber-Optic Current and Voltage Sensors for High-Voltage Substations,” in Proceedings of the IEEE International Conference on Optical Fiber Sensors, Oct. 2003.Google Scholar
[81]Sentient Energy, “Product Brochures: MM3 Line Monitor,” www.sentient-energy.com/products/mm3-intelligent-sensor.Google Scholar
[82]Marks, R. J., Introduction to Shannon Sampling and Interpolation Theory. Springer, 1991.Google Scholar
[83]Ramet, S., “A Low-Distortion Anti-Aliasing/Smoothing Filter for Sampled Data Integrated Circuits,IEEE Journal of Solid-State Circuits, vol. 23, no. 5, pp. 12671272, May 1988.CrossRefGoogle Scholar
[84]Miler, A. and Dewe, M., “The Application of Multi-Rate Digital Signal Processing Techniques to the Measurement of Power System Harmonic Levels,IEEE Transactions on Power Delivery, vol. 8, no. 2, pp. 531539, Feb. 1993.CrossRefGoogle Scholar
[85]Castelló, J., Espí, J. M., and García-Gil, R., “A New Generalized Robust Predictive Current Control for Grid-Connected Inverters Compensates Anti-Aliasing Filters Delay,IEEE Transactions on Industrial Electronics, vol. 63, no. 7, pp. 44854494, Jul. 2016.CrossRefGoogle Scholar
[86]Martins, R., Franca, J., and Maloberti, F., “An Optimum CMOS Switched-Capacitor Antialiasing Decimating Filter,IEEE Journal of Solid-State Circuits, vol. 28, no. 9, pp. 962970, Sep. 1993.Google Scholar
[87]Shahsavari, A., Farajollahi, M., Stewart, E., Roberts, C., and Mohsenian-Rad, H., “A Data-Driven Analysis of Lightning-Initiated Contingencies at a Distribution Grid with a PV Farm Using Micro-PMU Data,” in Proceedings of the IEEE North American Power Symposium, Sep. 2017.Google Scholar
[88]Center for Environmental Research and Technology, “Sustainable Integrated Grid Initiative.” www.cert.ucr.edu/laboratoryservices/sustainable-integrated-grid-initiative.Google Scholar
[89]Mohsenian-Rad, H. and Cortez, E., “Smart Grid for Smart City Activities in the California City of Fiverside,” in Proceedings of the International Conference on Smart Grid for Smart Cities, Toronto, ON, Oct. 2015.Google Scholar
[90]Taylor, Z., Akhavan-Hejazi, H., Cortez, E., Alvarez, L., Ula, S., Barth, M., and Mohsenian-Rad, H., “Customer-Side SCADA-Assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving,IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 9921004, Jan. 2019.Google Scholar
[91]Scott, D. W., Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition Histograms: Theory and Practice, 2nd ed. Hoboken, NJ: John Wiley & Sons Inc., 2015.Google Scholar
[92]Shahsavari, A., Farajollahi, M., Stewart, E., Roberts, C., Megala, F., Alvarez, L., Cortez, E., and Mohsenian-Rad, H., “Autopsy on Active Distribution Networks: A Data-Driven Fault Analysis Using Micro-PMU Data,” in Proceedings of the IEEE North American Power Symposium, Sep. 2017.Google Scholar
[93]Khaledian, P., Aligholian, A., and Mohsenian-Rad, H., “Event-Based Analysis of Solar Power Distribution Feeder Using Micro-PMU Measurements,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Feb. 2021.Google Scholar
[94]Pal, B. and Chaudhuri, B., Robust Control in Power Systems. New York, NY: Springer, 2005.Google Scholar
[95]Hauer, J. F., Demeure, C. J., and Scharf, L. L., “Initial Results in Prony Analysis of Power System Response Signals,IEEE Transactions on Power Systems, vol. 5, no. 1, pp. 80– 89, Feb. 1990.Google Scholar
[96]Pierre, B., Elliott, R., Schoenwald, D., Neely, J., Byrne, R., Trudnowski, D., and Colwell, J., “Supervisory System for a Wide Area Damping Controller Using PDCI Modulation and Real-Time PMU Feedback,” in Proceedings of the IEEE Power and Energy Society General Meeting, Bostob, MA, Jul. 2016.Google Scholar
[97]Trudnowski, D., “Properties of the Dominant Inter-Area Modes in the WECC Interconnect,” Jan. 2012. www.wecc.org/Reliability/WECCmodesPaper130113Trudnowski.pdf.Google Scholar
[98]Pierre, B. J., Wilches-Bernal, F., Schoenwald, D. A., Elliott, R. T., Neely, J. C., Byrne, R. H., and Trudnowski, D., “Open-Loop Testing Results for the Pacific DC Intertie Wide Area Damping Controller,” in Proceedings of the IEEE Manchester PowerTech, Manchester, UK, Jun. 2017.Google Scholar
[99]Jury, E., Theory and Application of the Z-transform Method. Huntington, NY: Krieger Publishing, 1964.Google Scholar
[100]Poularikas, A. D., “The Z-Transform,” in The Transforms and Applications Handbook, Poularikas, A. D., Ed. Boca Raton, FL: CRC Press, 2000.Google Scholar
[101]Hauer, J. F., Demeure, C. J., and Scharf, L. L., “Initial Results in Prony Analysis of Power System Response Signals,IEEE Transactions on Power Systems, vol. 5, pp. 8089, Feb. 1.CrossRefGoogle Scholar
[102]MathWorks, “Help Center–lsqlin.” www.mathworks.com/help/optim/ug/lsqlin.html.Google Scholar
[103]Boyd, S. and Vandenberghe, L., Convex Optimization. Cambridge, UK: Cambridge University Press, 2004.Google Scholar
[104]MathWorks, “Help Center–roots” www.mathworks.com/help/matlab/ref/roots.html.Google Scholar
[105]Ma, J., Matuszyk, P. J., Mallan, R. K., Torres-Verdín, C., and Voss, B. C., “Joint Processing of Forward and Backward Extended Prony and Weighted Spectral Semblance Methods for Robust Extraction of Velocity Dispersion Data,” in Proceedings of the SPWLA 51st Annual Logging Symposium, Perth, Australia, Jun. 2010.Google Scholar
[106]Trudnowski, D. I., “Order Reduction of Large-Scale Linear Oscillatory Models,IEEE Transactions Power Systems, vol. 9, no. 1, pp. 451458, Feb. 1994.Google Scholar
[107]Xiao, J., Xie, X., Han, Y., and Wu, J., “Dynamic Tracking of Low-Frequency Oscillations with Improved Prony Method in Wide-Area Measurement System,” in Proceedings of the IEEE Power and Energy Society General Meeting, Denver, CO, Jun. 2004.Google Scholar
[108]Peng, J. C. H. and Nair, N. K. C., “Adaptive Sampling Scheme for Monitoring Oscillations Using Prony Analysis,IET Generation, Transmission and Distribution, vol. 3, no. 12, pp. 10521060, Dec. 2009.Google Scholar
[109]Kumaresan, R. and Tufts, D. W., “Estimating the Parameters of Exponentially Damped Sinusoids and Pole-Zero Modeling in Noise,IEEE Transactions on Acoustic, Speech, and Signal Processing, vol. 30, no. 6, pp. 833840, Dec. 1982.Google Scholar
[110]Ruiz-Vega, D., Messina, A. R., and Pavella, M., “Online Assessment and Control of Transient Oscillations Damping,IEEE Transactions on Power Systems, vol. 19, no. 2, pp. 10381047, May 2004.Google Scholar
[111]Costa, F. F., de Almeida, A. L., Wegelin, F. A., and da Costa, E. G., “Recursive Prony’s Method for Improving the Monitoring of Electrical Machines,” in Proceedings of the Instrumentation and Measurement Technology Conference, Ottawa, Canada, May 2005.Google Scholar
[112]Guoqiang, H., Renmu, H., Huachun, Y., Peng, W., and Rui, M., “Iterative Prony Method Based Power System Low Frequency Oscillation Mode Analysis and PSS Design,” in Proceedings of the IEEE/PES Transmission and Distribution Conference and Exposition: Asia and Pacific, Dalian, China, Aug. 2005.Google Scholar
[113]Allen, A., Santoso, S., and Muljadi, E., “Algorithm for Screening Phasor Measurement Unit Data for Power System Events and Categories and Common Characteristics for Events Seen in Phasor Measurement Unit Relative Phase-Angle Differences and Frequency Signals,” National Renewable Energy Laboratory, Aug. 2013. www.nrel.gov/docs/fy13osti/58611.pdfGoogle Scholar
[114]MathWorks, “Help Center–fft.” www.mathworks.com/help/matlab/ref/fft.html.Google Scholar
[115]Huber, P. J. and Ronchetti, E. M., Robust Statistics. Hoboken, NJ: Wiley, 2009.Google Scholar
[116]Perez, E. and Barros, J., “Voltage Event Detection and Characterization Methods: A Comparative Study,” in Proceedings of the IEEE PES Transmission and Distribution Conference and Exposition: Latin America, Caracas, Venezuela, Aug. 2006.Google Scholar
[117]Kim, D.-I., Chun, T. Y., Yoon, S. H., Lee, G., and Shin, Y. J., “Wavelet-Based Event Detection Method Using PMU Data,IEEE Transactions on Smart Grid, vol. 8, no. 3, pp. 11541162, May 2017.Google Scholar
[118]Shahsavari, A., Farajollahi, M., Stewart, E., Cortez, E., and Mohsenian-Rad, H., “Situational Awareness in Distribution Grid Using Micro-PMU Data: A Machine Learning Approach,IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 61676177, Nov. 2019.Google Scholar
[119]Tasfi, N. L., Higashino, W. A., Grolinger, K., and Capretz, M. A. M., “Deep Neural Networks with Confidence Sampling for Electrical Anomaly Detection,” in Proceedings of IEEE International Conference on Internet of Things, Exeter, UK, Jun. 2017.CrossRefGoogle Scholar
[120]Araya, D. B., Grolinger, K., El-Yamany, H. F., Capretz, M. A., and Bitsuamlak, G., “An Ensemble Learning Framework for Anomaly Detection in Building Energy Consumption,Energy and Buildings, vol. 144, pp. 191206, Jun. 2017.Google Scholar
[121]Kahl, M., Kriechbaumer, T., Jorde, D., Haq, A. U., and Jacobsen, H. A., “Appliance Event Detection—A Multivariate, Supervised Classification Approach,” in Proceedings of the ACM International Conference on Future Energy Systems, Phoenix, AZ, Jun. 2019.Google Scholar
[122]Nguyen, D., Barella, R., Wallace, S. A., Zhao, X., and Liang, X., “Smart Grid Line Event Classification Using Supervised Learning over PMU Data Streams,” in Proceedings of the International Green and Sustainable Computing Conference, Las Vegas, NV, Dec. 2015.Google Scholar
[123]Aligholian, A., Farajollahi, M., and Mohsenian-Rad, H., “Unsupervised Learning for Online Abnormality Detection in Smart Meter Data,” in Proceedings of the IEEE PES General Meeting, Atlanta, GA, Aug. 2019.Google Scholar
[124]Aligholian, A., Shahsavari, A., Cortez, E., Stewart, E., and Mohsenian-Rad, H., “Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method,” in Proceedings of the IEEE PES General Meeting, Montreal, QC, Canada, Aug. 2020.Google Scholar
[125]Luo, J., Hong, T., and Yue, M., “Real-Time Anomaly Detection for Very Short-Term Load Forecasting,Journal of Modern Power Systems and Clean Energy, vol. 6, no. 2, pp. 235243, Mar. 2018.Google Scholar
[126]Saad, A. and Sisworahardjo, N., “Data Analytics-Based Anomaly Detection in Smart Distribution Network,” in Proceedings of the International Conference on High Voltage Engineering and Power Systems, Sanur, Indonesia, Oct. 2017.Google Scholar
[127]Shahsavari, A., Farajollahi, M., Stewart, E., Cortez, E., and Mohsenian-Rad, H., “A Machine Learning Approach to Event Analysis in Distribution Feeders Using Distribution Synchrophasors,” in Proceedings of the IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, TX, May 2019.Google Scholar
[128]von Jouanne, A. and Banerjee, B., “Assessment of Voltage Unbalance,IEEE Transactions on Power Delivery, vol. 16, pp. 782790, Oct. 2001.Google Scholar
[129]Short, T. A., Electric Power Distribution Handbook. Boca Raton, FL: CRC Press, 2004.Google Scholar
[130]Pezeshki, H. and Wolfs, P. J., “Consumer Phase Identification in a Three Phase Unbalanced LV Distribution Network,” in Proceedings of the IEEE Innovative Smart Grid Technologies, Berlin, Germany, May 2012.Google Scholar
[131]Seal, B. K. and M. F. McGranaghan, “Automatic Identification of Service Phase for Electric Utility Customers,” in Proceedings of the IEEE Power and Energy Society General Meeting, Detroit, MI, Jul. 2011.CrossRefGoogle Scholar
[132]North American Electric Reliability Corporation, “Standard BAL-003-1—Frequency Response and Frequency Bias Setting Reliability Standard.” www.federalregister.gov/documents/2014/01/23/2014-01218/frequency-response-and-frequency-bias-setting-reliability-standard.Google Scholar
[133]Dong, J., Zuo, J., Wang, L., Kook, K. S., Chung, I. Y., Liu, Y., Affare, S., Rogers, B., and Ingram, M., “Analysis Power System Disturbances Based on Wide-Area Frequency Measurements,” in Proceedings of the IEEE Power and Energy Society General Meeting, Jul. 2007.Google Scholar
[134]North American Electric Reliability Corporation, “Balancing and Frequency Control,” Princeton, NJ, Jan. 2011.Google Scholar
[135]Chassin, D. P., Huang, Z., Donnelly, M. K., Hassler, C., Ramirez, E., and Ray, C., “Estimation of WECC System Inertia Using Observed Frequency Transients,IEEE Transactions on Power Systems, vol. 20, pp. 11901192, 2005.Google Scholar
[136]Sharma, S., Huang, S. H., and Sarma, N., “System Inertial Frequency Response Estimation and Impact of Renewable Resources,” in Proceedings of the IEEE Power and Energy Society General Meeting, Jul. 2011.Google Scholar
[137]Institute of Electrical and Electronics Engineers, “Standard Requirements for Instrument Transformers, C57.13-2016.” https://ieeexplore.ieee.org/document/7501435.Google Scholar
[138]Moghe, R., “Smart Sensors for Utility Assets,” doctoral thesis, Georgia Institute of Technology, Atlanta, GA, 2012.Google Scholar
[139]Mohsenian-Rad, H., Stewart, E., and Cortez, E., “Distribution Synchrophasors: Pairing Big Data with Analytics to Create Actionable Information,IEEE Power and Energy Society Magazine, vol. 16, no. 3, pp. 2634, May 2018.Google Scholar
[140]Phadke, A. G. and Thorp, J. S., Synchronized Phasor Measurements and Their Applications. New York, NY: Springer, 2008.Google Scholar
[141]Institute of Electrical and Electronics Engineers, “Standard for Synchrophasor Measurements for Power Systems, C37.118.1-2011.” https://ieeexplore.ieee.org/document/6111222.Google Scholar
[142]Mills, D. L., “Internet Time Synchronization: The Network Time Protocol,IEEE Transactions on Communications, vol. 39, no. 10, pp. 14821493, Oct. 1991.Google Scholar
[143]Derviškadić, A., Razzaghi, R., Walger, Q., and Paolone, M., “The White Rabbit Time Synchronization Protocol for Synchrophasor Networks,IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 726738, Jan. 2020.Google Scholar
[144]Schweitzer Engineering Laboratories, “It’s About Time: Synchrophasor Measurements Require a Precise, Absolute Time Reference.” https://selinc.com/solutions/synchrophasors/report/115267/.Google Scholar
[145]Phadke, A. G., “Synchronized Phasor Measurements-a Historical Overview,” in Proceedings of the IEEE PES Transmission and Distribution Conference and Exhibition, Oct. 2002.Google Scholar
[146]Nuthalapati, S., Power System Grid Operation Using Synchrophasor Technology. New York, NY: Springer, 2019.Google Scholar
[147]von Meier, A., Stewart, E., McEachern, A., Andersen, M., and Mehrmanesh, L., “Precision Micro-Synchrophasors for Distribution Systems: A Summary of Applications,IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 29262936, Nov. 2017.Google Scholar
[148]Institute of Electrical and Electronics Engineers, “Guide for Phasor Data Concentrator Requirements for Power System Protection, Control, and Monitoring, C37.244-2013.” https://ieeexplore.ieee.org/document/6514039.Google Scholar
[149]Kundur, P., Power System Stability and Control. New York, NY: McGraw-Hill, 1994.Google Scholar
[150]Pierre, B. J., Wilches-Bernal, F., Schoenwald, D. A., Elliott, R. T., Trudnowski, D. J., Byrne, R. H., and Neely, J. C., “Design of the Pacific DC Intertie Wide Area Damping Controller,IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 35943604, Sep. 2019.Google Scholar
[151]Farajollahi, M., Shahsavari, A., and Mohsenian-Rad, H., “Location Identification of Distribution Network Events Using Synchrophasor Data,” in Proceedings of the IEEE North American Power Symposium, Morgantown, WV, Sep. 2017.Google Scholar
[152]Shahsavari, A., Farajollahi, M., Stewart, E., Von-Meier, A., Alvarez, L., Cortez, E., and Mohsenian-Rad, H., “Data-Driven Analysis of Capacitor Bank Operation at a Distribution Feeder Using Micro-PMU Data,” in Proceedings of the IEEE Power and Energy Society Conference on Innovative Smart Grid Technologies, Apr. 2017.Google Scholar
[153]Farajollahi, M., Shahsavari, A., and Mohsenian-Rad, H., “Tracking State Estimation in Distribution Networks Using Distribution-Level Synchrophasor Data,” in Proceedings of the IEEE Power and Energy Society General Meeting, Aug. 2018.Google Scholar
[154]Akrami, A., Asif, M. S., and Mohsenian-Rad, H., “Sparse Distribution System State Estimation: An Approximate Solution against Low Observability,” in Proceedings of the IEEE Power and Energy Society Conference on Innovative Smart Grid Technologies, Feb. 2020.Google Scholar
[155]Farajollahi, M., Shahsavari, A., Stewart, E., and Mohsenian-Rad, H., “Locating the Source of Events in Power Distribution Systems Using Micro-PMU Data,IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 63436354, Nov. 2018.Google Scholar
[156]Kumar, K. S., Electric Circuits and Networks. Chennai, India: Pearson, 2009.Google Scholar
[157]Gaur, V. K. and Bhalja, B. R., “Synchrophasor Based Fault Distance Estimation Method for Tapped Transmission Line,” in Proceedings of the IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, TX, May 2019.Google Scholar
[158]Jiang, Q., Li, X., Wang, B., and Wang, H., “PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks,IEEE Transactions on Power Delivery, vol. 27, no. 3, 1644.Google Scholar
[159]Jiang, Q., Wang, B., and Li, X., “An Efficient PMU-Based Fault-Location Technique for Multiterminal Transmission Lines,IEEE Transactions on Power Delivery, vol. 29, no. 4, pp. 16751682, Aug. 2014.Google Scholar
[160]Ren, J., Venkata, S. S., and Sortomme, E., “An Accurate Synchrophasor Based Fault Location Method for Emerging Distribution Systems,IEEE Transactions on Power Delivery, vol. 29, no. 1, pp. 297298, Feb. 2014.Google Scholar
[161]Mei, K., Rovnyak, S. M., and Ong, C., “Clustering-Based Dynamic Event Location Using Wide-Area Phasor Measurements,IEEE Transactions on Power Systems, vol. 23, no. 2, pp. 673679, May 2008.Google Scholar
[162]Pignati, M., Zanni, L., Romano, P., Cherkaoui, R., and Paolone, M., “Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-Based Real-Time State Estimation,IEEE Transactions on Power Delivery, vol. 32, no. 1, pp. 381392, Feb. 2017.Google Scholar
[163]Feng, G. and Abur, A., “Fault Location Using Wide-Area Measurements and Sparse Estimation,IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 29382945, Jul. 2016.Google Scholar
[164]Li, W., Deka, D., Chertkov, M., and Wang, M., “Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks,IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 46404651, Nov. 2019.Google Scholar
[165]Blanco, J., Petit, J. F., and Ordóñez, G., “Algorithm for Relative Location of Voltage Sags and Capacitor Switching Transients Based on Voltage Measurement Only,” in Proceedings of the IEEE International Conference on Harmonics and Quality of Power (ICHQP), Bucharest, Romania, May 2014.Google Scholar
[166]Le, C. D., Bollen, M. H. J., and Gu, I. Y. H., “Analysis of Power Disturbances from Monitoring Multiple Levels and Locations in a Power System,” in Proceedings of the IEEE International Conference on Harmonics and Quality of Power (ICHQP), Bergamo, Italy, Sep. 2010.Google Scholar
[167]Powerside Inc., “Synchrophasor Micro-PMU.” https://powerside.com/products/monitoring/micropmu/Google Scholar
[168]Blackburn, J. L. and Domin, T. J., Protective Relaying Principles and Applications. Boca Raton, FL: CRC Press, 2007.Google Scholar
[169]Anderson, P. M., Analysis of Faulted Power Systems. Ames, IA: Iowa State University Press, 1973.Google Scholar
[170]Schweitzer, E. O. and Zocholl, S. E., “Introduction to Symmetrical Components,” in Proceedings of the Annual Georgia Tech Protective Relaying Conference, Atlanta, GA, Apr. 2004.Google Scholar
[172]Cristianini, N. and Shawe-Taylor, J., An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, UK: Cambridge University Press, 2000.Google Scholar
[173]Hsu, C. and Lin, C., “A Comparison of Methods for Multi-Class Support Vector Machines,IEEE Transactions on Neural Networks, vol. 13, no. 2, pp. 415425, Mar. 2002.Google Scholar
[174]Suthaharan, S., Machine Learning Models and Algorithms for Big Data Classification. New York, NY: Springer, 2016.Google Scholar
[175]Madzarov, G., Gjorgjevikj, D., and Chorbev, I., “A Multi-Class SVM Classifier Utilizing Binary Decision Tree,Informatica, vol. 33, no. 2, pp. 233241, 2009.Google Scholar
[176]Shahsavari, A., Farajollahi, M., and Mohsenian-Rad, H., “Individual Load Model Parameter Estimation in Distribution Systems using Load Switching Events,IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 46524664, Nov. 2019.Google Scholar
[177]MathWorks “Help Center–quadprog.” https://www.mathworks.com/help/optim/ug/quadprog.html.Google Scholar
[178]CVX Research, “CVX: Matlab Software for Disciplined Convex Programming.” http://cvxr.com/cvx/.Google Scholar
[179]Boser, B. E., Guyon, I. M., and Vapnik, V. N., “A Training Algorithm for Optimal Margin Classifiers,” in Proceedings of the ACM Annual Workshop on Computational Learning Theory, Pittsburgh, PA, Jul. 1992.Google Scholar
[180]Fu, Z., Robles-Kelly, A., and Zhou, J., “Mixing Linear SVMs for Nonlinear Classification,IEEE Transactions on Neural Networks, vol. 21, no. 12, pp. 19631975, Dec. 2010.Google Scholar
[181]Perez-Cruz, F., Navia-Vazquez, A., Alarcon-Diana, P. L., and Artes-Rodriguez, A., “Support Vector Classifier with Hyperbolic Tangent Penalty Function,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Istanbul, Turkey, Jun. 2000.Google Scholar
[182]Dasarathy, B. V., Nearest Neighbor (NN) Norms: NN Pattern Classification Rechniques. Los Alamitos, CA: IEEE Computer Society Press, 1991.Google Scholar
[183]Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J., Classification and Regression Trees. Monterey, CA: Wadsworth and Brooks, 1984.Google Scholar
[184]Shalev-Shwartz, S. and Ben-David, S., Understanding Machine Learning. Cambridge, UK: Cambridge University Press, 2014.Google Scholar
[185]Abbasy, N. H. and Ismail, H. M., “A Unified Approach for the Optimal PMU Location for Power System State Estimation,IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 806813, May 2009.Google Scholar
[186]Chakrabarti, S. and Kyriakides, E., “Optimal Placement of Phasor Measurement Units for Power System Observability,IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 14331440, Aug. 2008.Google Scholar
[187]Manousakis, N. M., Korres, G. N., and Georgilakis, P. S., “Taxonomy of PMU Placement Methodologies,IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 10701077, May 2012.Google Scholar
[188]Xu, B. and Abur, A., “Observability Analysis and Measurement Placement for Systems with PMUs,” in Proceedings of the IEEE PES Power Systems Conference and Exposition, Oct. 2004.Google Scholar
[189]Gou, B., “Generalized Integer Linear Programming Formulation for Optimal PMU Placement,IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 10991104, Aug. 2008.Google Scholar
[190]Xiao, Y., Maun, J. C., Mahmoud, H. B., Detroz, T., and Do, S., “Harmonic Impedance Measurement Using Voltage and Current Increments from Disturbing Loads,” in Proceedings of the IEEE International Conference on Harmonics and Quality of Power, Oct. 2000.Google Scholar
[191]Farajollahi, M., Shahsavari, A., and Mohsenian-Rad, H., “Topology Identification in Distribution Systems Using Line Current Sensors: An MILP Approach,IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 11591170, Mar. 2020.Google Scholar
[192]Tian, Z., Wu, W., and Zhang, B., “A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network,IEEE Transactions on Smart Grid, vol. 31, no. 1, pp. 823824, Jan. 2016.Google Scholar
[193]Affijulla, S. and Tripathy, P., “Development of Phasor Estimation Algorithm for P-Class PMU Suitable in Protection Applications,IEEE Transactions on Smart Grid, vol.9, no. 2, pp. 12501260, Mar. 2018.Google Scholar
[194]Ajulla, S. and Tripathy, P., “Development of Dictionary-Based Phasor Estimator Suitable for P-Class Phasor Measurement Unit,IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 11, pp. 26032615, Nov. 2018.Google Scholar
[195]Roscoe, A. J., Abdulhadi, I. F., and Burt, G. M., “Filters for M Class Phasor Measurement Units,” in Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems, Aachen, Germany, Sep. 2012.Google Scholar
[196]Roscoe, A. J., Abdulhadi, I. F., and Burt, G. M., “Filter Design Masks for C37.118.1a-Compliant Frequency-Tracking and Fixed-Filter M-Class Phasor Measurement Units,IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 8, pp. 20962107, Aug. 2015.Google Scholar
[197]Kamal, M., Farajollahi, M., and Mohsenian-Rad, H., “Analysis of Cyber Attacks Against Micro-PMUs: The Case of Event Source Location Identification,” in Proceedings of the IEEE Power and Energy Society Conference on Innovative Smart Grid Technologies, Feb. 2020.Google Scholar
[198]MathWorks, “Help Center–smoothdata.” www.mathworks.com/help/matlab/ref/smoothdata.html.Google Scholar
[199]Mullins, C., “Adjusting Waveform Capture Sampling Rates,” White Paper, Power Monitors Inc., Jan. 2016.Google Scholar
[200]Carnovale, D., “Power Quality Monitoring: Waveform Analysis,” https://ewh.ieee.org/r3/nashville/events/2008/2008.05.06.pdf,May2008.Google Scholar
[201]Enslin, J. H. R. and Heskes, P. J. M., “Harmonic Interaction between a Large Number of Distributed Power Inverters and the Distribution Network,IEEE Transactions on Power Electronics, vol. 19, no. 6, pp. 15861593, Nov. 2004.Google Scholar
[202]European Standards, “Standard EN 50160: Voltage Characteristics in Public Distribution Systems,” http://copperalliance.org.uk/uploads/2018/03/542-standard-en-50160-voltage-characteristics-in.pdf.Google Scholar
[203]Payne, C., “Understanding Crest Factor,” White Paper, Power Monitors Inc., Mar. 2016.Google Scholar
[204]Arghandeh, R., Onen, A., Jung, J., Cheng, D., Broadwater, R. P., and Centeno, V., “Phasor-Based Assessment for Harmonic Sources in Distribution Networks,Electric Power Systems Research, vol. 116, pp. 94105, Jul. 2014.Google Scholar
[205]Institute of Electrical and Electronics Engineers, “519-2014–IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems,” 2014. https://ieeexplore.ieee.org/document/6826459Google Scholar
[206]International Electrotechnical Commission, “Electromagnetic Compatibility (EMC)– Part 2-2: Environment–Compatibility Levels for Low-Frequency Conducted Disturbances and Signalling in Public Low-Voltage Power Supply Systems,” 2002. https://webstore.iec.ch/publication/63116.Google Scholar
[207]International Electrotechnical Commission, “Electromagnetic Measurement Techniques–General Guide on Harmonics and Interharmonics Measurements and Instrumentation, for Power Supply Systems and Equipment Connected Thereto,” 2002. https://webstore.iec.ch/publication/4226.Google Scholar
[208]Mullins, C., “Measuring PLC AMR Signals with the Revolution,” White Paper, Power Monitors Inc., May 2013.Google Scholar
[209]Andrus, C., “Voltage Notching in IEEE Std 519-2014,” White Paper, Power Monitors Inc., Jan. 2015.Google Scholar
[210]Andrus, C., “Power Factor Correction Capacitors and Resonances,” White Paper, Power Monitors Inc., Nov. 2014.Google Scholar
[211]Mullins, C., “Transient Capture versus Waveform Capture,” White Paper, Power Monitors Inc., Jul. 2015.Google Scholar
[212]Li, B., Torquato, R., Freitas, W., Sabin, D. D., Li, C., Mousavi, M. J., Xu, W., MacLeod, G., Grebe, T. E., Yong, J., Laughner, T., Murphy, A., and Cooke, T. A., “Electric Signatures of Power Equipment Failures,” IEEE PES Working Group on Power Quality Data Analytics, 2018.Google Scholar
[213]Li, B., “Abnormality Detection Methods for Utility Equipment Condition Monitoring,” master’s thesis, University of Alberta, Edmonton, Alberta, Canada, 2016.Google Scholar
[214]Kulkarni, S., Santoso, S., and Short, T. A., “Incipient Fault Location Algorithm for Underground Cables,IEEE Transactions on Smart Grid, vol. 5, no. 3, pp. 11651174, May 2014.Google Scholar
[215]Grebe, T. E., “Effective Collection and Management of Power Quality Data for Analysis and Detection of Incipient Distribution System Components Faults and Identification of Their Locations,” CEATI Report Number T124700-5159, Sep. 2013.Google Scholar
[216]Kojovic, L. A. and Williams, C. W., “Sub-cycle Detection of Incipient Cable Splice Faults to Prevent Cable Damage,” in Proceedings of the IEEE Power Engineering Society Summer Meeting, Jul. 2000.Google Scholar
[217]Kulkarni, S., Allen, A. J., Chopra, S., Santoso, S., and Short, T. A., “Waveform Characteristics of Underground Cable Failures,” in Proceedings of the IEEE Power Engineering Society General Meeting, Jul. 2010.Google Scholar
[218]U.S. Department of Energy and Electric Power Research Institute, “DOE/EPRI National Database Repository of Power System Events,” https://pqmon.epri.com/see_all.html.Google Scholar
[219]Blume, H., “PG&E Reaches $13.5-Billion Settlement with Victims of Devastating California Wildfires,Los Angeles Times, Dec. 2019.Google Scholar
[220]Irwin, L. A., “Real Experience Using Power Quality Data to Improve Power Distribution Reliability,” in Proceedings of the IEEE International Conference on Harmonics and Quality of Power, Sep. 2010.Google Scholar
[221]Santoso, S. and Sabin, D. D., “Power Quality Data Analytics: Tracking, Interpreting, and Predicting Performance,” in Proceedings of the IEEE Power and Energy Society General Meeting, Jul. 2012.Google Scholar
[222]Kasztenny, B., Voloh, I., Depew, A., and Wolete, J., “Re-Strike and Breaker Failure Conditions for Circuit Breakers Connecting Capacitor Banks,” in Proceedings of the IEEE Annual Conference for Protective Relay Engineers, Apr. 2008.Google Scholar
[223]Benner, C. L., Russell, B. D., and Sundaram, A., “Feeder Interruptions Caused by Recurring Faults on Distribution Feeders: Faults You Don’t Know,” in Proceedings of the IEEE Annual Conference for Protective Relay Engineers, Apr. 2008.Google Scholar
[224]Benner, C. L. and Russell, B. D., “Distribution Incipient Faults and Abnormal Events: Case Studies from Recorded Field Data,” in Proceedings of the IEEE Annual Conference for Protective Relay Engineers, Apr. 2004.Google Scholar
[225]Electric Power Research Institute, “DPQ Event: Back-to-Back Capacitor Switching,” Report Number 1017221, Palo Alto, CA, 2003. www.epri.com/research/products/000000000001017221.Google Scholar
[226]Electric Power Research Institute, “DPQ Event: Arcing Switch Contacts during Capacitor Energization,” EPRI Technical Report Number 1017218, Palo Alto, CA, 2003. www.epri.com/research/products/000000000001017225.Google Scholar
[227]Eltawil, M. A. and Zhao, Z., “Grid-Connected Photovoltaic Power Systems: Technical and Potential Problems—A Review,Renewable and Sustainable Energy Reviews, vol. 14, no. 1, pp. 112129, Jan. 2010.Google Scholar
[228]Hochgraf, C. and Lasseter, R. H., “Statcom Controls for Operation with Unbalanced Voltages,IEEE Transactions on Power Delivery, vol. 13, no. 2, pp. 538544, Apr. 1998.Google Scholar
[229]Hagiwara, M., Wada, K., Fujita, H., and Akagi, H., “Dynamic Behavior of a 21-Level BTB-Based Power Flow Controller under Single Line-to-Ground Fault Conditions,IEEE Transactions on Industry Applications, vol. 43, no. 5, pp. 13791387, Sep. 2007.Google Scholar
[230]Hoke, A., Nelson, A., Chakraborty, S., Chebahtah, J., Wang, T., and M. McCarty, “Inverter Ground Fault Overvoltage Testing,” National Renewable Energy Laboratory, Technical Report NREL/TP-5D00-64173, Aug. 2015.Google Scholar
[231]Ropp, M., Hoke, A., Chakraborty, S., Schutz, D., Mouw, C., Nelson, A., McCarty, M., Wang, T., and Sorenson, A., “Ground Fault Overvoltage with Inverter-Interfaced Distributed Energy Resources,IEEE Transactions on Power Delivery, vol. 32, no. 2, pp. 890899, Apr. 2017.Google Scholar
[232]Joint NERC and WECC Staff Report, “900 mw Fault Induced Solar Photovoltaic Resource Interruption Disturbance Report, Southern California Event: October 9, 2017,” Feb. 2018. www.nerc.com/pa/rrm/ea/October%209%202017%20Canyon%202%20Fire%20Disturbance%20Report/900%20MW%20Solar%20Photovoltaic%20Resource%20Interruption%20Disturbance%20RepoGoogle Scholar
[233]North American Electric Reliability Corporation, “1,200 mw Fault Induced Solar Photovoltaic Resource Interruption Disturbance Report,” 2017. www.nerc.com/pa/rrm/ea/1200_MW_Fault_Induced_Solar_Photovoltaic_Resource_/1200_MW_Fault_Induced_Solar_Photovoltaic_Resource_Interruption_Final.pdf.Google Scholar
[234]North American Electric Reliability Corporation, “Reliability Guideline: BPS-Connected Inverter-Based Resource Performance,” Sep. 2018. www.nerc.com/comm/PC_Reliability_Guidelines_DL/Inverter-Based_Resource_Performance_Guideline.pdf.Google Scholar
[235]Nunez, V. B., Kulkarni, S., Santoso, S., and Joaquim, M. F., “Feature Analysis and Classification Methodology for Overhead Distribution Fault Events,” in Proceedings of the IEEE Power Engineering Society General Meeting, Jul. 2010.Google Scholar
[236]Sabin, D., MacLeod, G., and Wojdan, M., “Distribution Fault Location and Grid Analytics at Hydro Ottawa,” in Proceedings of the IEEE International Conference on Harmonics and Quality of Power, May 2018.Google Scholar
[237]IEEE, “IEEE Recommended Practice for Monitoring Electric Power Quality,” IEEE Standard 1159–2009.Google Scholar
[238]Keppler, T., Watson, N., and Arrillaga, J., “Computation of the Short-Term Flicker Severity Index,IEEE Transactions on Power Delivery, vol. 15, no. 4, pp. 11101115, Oct. 2000.Google Scholar
[239]Rahman, S., Moghaddami, M., Sarwat, A. I., Olowu, T., and Jafaritalarposhti, M., “Flicker Estimation Associated with PV Integrated Distribution Network,” in Proceedings of the IEEE Southeastcon, Apr. 2018.Google Scholar
[240]Mora-Flòrez, J., Melóndez, J., and Carrillo-Caicedo, G., “Comparison of Impedance Based Fault Location Methods for Power Distribution Systems,Electric Power Systems Research, vol. 78, no. 4, pp. 657666, Apr. 2008.Google Scholar
[241]Kulkarni, S. S., “Fault Location and Characterization in AC and DC Power Systems,” PhD thesis, University of Texas at Austin, Dec. 2012.Google Scholar
[242]Goodfellow, J., “Investigating Tree-Caused Faults,Distribution World, Nov. 2005.Google Scholar
[243]Kulkarni, S., Lee, D., Allen, A. J., Santoso, S., and Short, T. A., “Waveform Characterization of Animal Contact, Tree Contact, and Lightning Induced Faults,” in Proceedings of the IEEE Power Engineering Society General Meeting, Jul. 2010.Google Scholar
[244]Cai, Y. and Chow, M. Y., “Small World Stratification for Distribution Fault Diagnosis,” in Proceedings of the IEEE PES Power Systems Conference and Exposition, Mar. 2011.Google Scholar
[245]Carta, A., Locci, N., and Muscas, C., “A PMU for the Measurement of Synchronized Harmonic Phasors in Three-Piece Distribution Networks,IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 10, pp. 37233730, Oct. 2009.Google Scholar
[246]Zeng, B., Teng, Z., Cai, Y., Guo, S., and Qing, B., “Harmonic Phasor Analysis Based on Improved FFT Algorithm,IEEE Transactions on Smart Grid, vol. 2, no. 1, pp. 5159, Mar. 2011.Google Scholar
[247]Chakir, M., Kamwa, I., and Huy, H. L., “Extended C37.118.1 PMU Algorithms for Joint Tracking of Fundamental and Harmonic Phasors in Stressed Power Systems and Microgrids,IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 14651480, Jun. 2014.Google Scholar
[248]Jain, S. K., Jain, P., and Singh, S. N., “A Fast Harmonic Phasor Measurement Method for Smart Grid Applications,IEEE Transactions on Smart Grid, vol. 8, no. 1, pp. 493502, Jan. 2017.Google Scholar
[249]Chen, L., Zhao, W., Wang, F., and Huang, S., “Harmonic Phasor Estimator for P Class Phasor Measurement Units,IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 10, pp. 110, May 2019.Google Scholar
[250]Elad, M., Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing. New York, NY: Springer, 2010.Google Scholar
[251]Liao, H., “Power System Harmonic State Estimation and Observability Analysis via Sparsity Maximization,IEEE Transactions on Power Systems, vol. 22, no. 1, pp. 1523, Feb. 2007.Google Scholar
[252]Chen, L., Farajollahi, M., Ghamkhari, M., Zhao, W., Huang, S., and Mohsenian-Rad, H., “Switch Status Identification in Distribution Networks Using Harmonic Synchrophasor Measurements,IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 24132424, May 2021.Google Scholar
[253]Benner, C. L. and Russell, B. D., “Practical High-Impedance Fault Detection on Distribution Feeders,IEEE Transactions on Industry Applications, vol. 33, no. 3, pp. 635640, May 1997.Google Scholar
[254]Farajollahi, M., Shahsavari, A., and Mohsenian-Rad, H., “Location Identification of High Impedance Faults Using Synchronized Harmonic Phasors,” in Proceedings of the IEEE Power and Energy Society Conference on Innovative Smart Grid Technologies, Apr. 2017.Google Scholar
[255]Bastos, A. F., Santoso, S., Freitas, W., and Xu, W., “Synchrowaveform Measurement Units and Applications,” in Proceedings of the IEEE Power and Energy Society General Meeting, Aug. 2019.Google Scholar
[256]Izadi, M. and Mohsenian-Rad, H., “Event Location Identification in Distribution Networks Using Waveform Measurement Units,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, The Hague, Netherlands, Oct. 2020.Google Scholar
[257]Ziegler, G., Numerical Differential Protection: Principles and Applications. Erlangen, Germany: Publicis Publishing, 2012.Google Scholar
[258]Izadi, M. and Mohsenian-Rad, H., “Synchronous Waveform Measurements to Locate Transient Events and Incipient Faults in Power Distribution Networks,IEEE Transactions on Smart Grid, May 2021.Google Scholar
[259]Power Monitors Inc., “Revolution Power Quality Recorder,” https://powermonitors.com/product/revolution-power-quality-recorder/.Google Scholar
[260]Misak, S., Fulnecek, J., Vantuch, T., and Prokop, L., “Towards the Character and Challenges of Partial Discharge Pattern Data Measured on Medium Voltage Overhead Lines,” in Proceedings of the IEEE International Scientific Conference on Electric Power Engineering, Kouty nad Desnou, Czech Republic, May 2019.Google Scholar
[261]Misak, S., Fulnecek, J., Vantuch, T., Burianek, T., and Jezowicz, T., “A Complex Classification Approach of Partial Discharges from Covered Conductors in Real Environment,IEEE Transactions on Dielectrics and Electrical Insulation, vol. 24, no. 2, pp. 10971104, Apr. 2017.Google Scholar
[262]Barclay, L. A., Propagation of Radio Waves. London: Institution of Engineering and Technology, 2003.Google Scholar
[263]Illias, H. A., Tunio, M. A., Baker, A. H. A., Mokhlis, H., and Chen, G., “Partial Dicharge Phenomena within an Artificial Void in Cable Insulation Geometry: Experimental Validation and Simulation,IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 1, pp. 451459, Feb. 2016.Google Scholar
[264]Alvarez, F., Ortega, J., Garnacho, F., and Sanchez-Uran, M. A., “A Clustering Technique for Partial Discharge and Noise Sources Identification in Power Cables by Means of Waveform Parameters,IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 1, pp. 469481, Feb. 2016.Google Scholar
[265]Andrus, C., “Understanding Variable Frequency Drives,” White Paper, Power Monitors Inc., Sep. 2015.Google Scholar
[266]Hong, T., Deswal, D., and De-Leon, F., “An Online Data-Driven Technique for the Detection of Transformer Winding Deformations,IEEE Transactions on Power Delivery, vol. 33, pp. 600609, Apr. 2018.Google Scholar
[267]Izadi, M. and Mohsenian-Rad, H., “A Synchronized Lissajous-Based Method to Achieve Situational Awareness Using Synchronized Waveform Measurements,” in Proceedings of the IEEE Power and Energy Society General Meeting, Aug. 2021.Google Scholar
[269]Electric Reliability Council of Texas, “Wind Power Production,” www.ercot.com/gridinfo/generation/.Google Scholar
[270]Svensson, S., “Power Measurement Techniques for Non-sinusoidal Conditions,” PhD thesis, Chalmers University of Technology, Göteborg, Sweden, 1999.Google Scholar
[271]Grijalva, S. and Tariq, M. U., “Prosumer-Based Smart Grid Architecture Enables a Flat, Sustainable Electricity Industry,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, Anaheim, CA, Jan. 2011.Google Scholar
[272]Lampropoulos, I., Vanalme, G. M. A., and Kling, W. L., “A Methodology for Modeling the Behavior of Electricity Prosumers within the Smart Grid,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies—Europe, Gothenberg, Sweden, Oct. 2010.Google Scholar
[273]Albachrony, M., Ha, D., Tran, Q., Brun, A., and Petit, M., “Coordinated Prosumer Transaction Based on Load Shifting and Optimization,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies—Europe, Bucharest, Romania, Sep. 2019.Google Scholar
[274]Southern California Edison, “Net Energy Metering,” www.sce.com/residential/generating-your-own-power/net-energy-metering.Google Scholar
[275]California Public Utilities Commission, “CPUC Approves Feed-in Tariffs to Support Development of Onsite Renewable Generation.” https://docs.cpuc.ca.gov/PUBLISHED/NEWS_RELEASE/78824.htmGoogle Scholar
[276]Hinds, E., Matsuishi, C., and Schoradt, B., “Feed-In Tariffs Emerge as Key Driver for Solar Development,Solar Power International Show Preview Guide, 2012.Google Scholar
[277]Weranga, K. S. K., Kumarawadu, S., and Chandima, D. P., Smart Metering Design and Applications. New York, NY: Springer, 2014.Google Scholar
[278]T&D World, “Smart Meter Deployment Projected to Reach 107 Million as of Year-End 2020.” www.tdworld.com/grid-innovations/smart-grid/article/21120206/smart-meter-deployment-projected-to-reach-107-million-as-of-yearend-2020.Google Scholar
[279]Albadi, M. and El-Saadany, E., “A Summary of Demand Response in Electricity Markets,Electric Power Systems Research, vol. 78, no. 11, pp. 19891996, Nov. 2008.Google Scholar
[280]A monthly bill issued by Riverside Public Utilities in 2017.Google Scholar
[281]Mohsenian-Rad, H. and Leon-Garcia, A., “Optimal Residential Load Control with Price Prediction in Real-Time Electricity Pricing Environments,IEEE Transactions on Smart Grid, vol. 1, no. 2, pp. 120133, Sep. 2010.Google Scholar
[282]Chen, X., Wei, T., and Hu, S., “Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home,IEEE Transactions on Smart Grid, vol. 4, no. 2, pp. 932941, Jun. 2013.Google Scholar
[283]Xu, Z., Diao, R., Lu, S., Lian, J., and Zhang, Y., “Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model,IEEE Transactions on Smart Grid, vol.5, no. 5, pp. 22032210, Sep. 2014.Google Scholar
[284]Gholian, A., Mohsenian-Rad, H., Hua, Y., and Qin, J., “Optimal Industrial Load Control in Smart Grid: A Case Study for Oil Refineries,” in Proceedings of the IEEE PES General Meeting, Vancouver, Canada, Jul. 2013.Google Scholar
[285]Shoreh, M. H., Siano, P., Shafie-khah, M., Loia, V., and Catalão, J. P. S., “A Survey of Industrial Applications of Demand Response,Electric Power Systems Research, vol. 141, pp. 3149, Dec. 2016.Google Scholar
[286]Liu, Z., Liu, I., Low, S., and Wierman, A., “Pricing Data Center Demand Response,” in Proceedings of the ACM Sigmetrics, Austin, TX, Jun. 2014.Google Scholar
[287]Marks, G., Wilcox, E., Olsen, D., and Goli, S., “Opportunities for Demand Response in California Agricultural Irrigation: A Scoping Study,Technical Report, Lawrence Berkeley National Laboratory, 2013. www.osti.gov/servlets/purl/1172125.Google Scholar
[288]Meyn, S., Barooah, P., Busic, A., and Ehren, J., “Ancillary Service to the Grid from Deferrable Loads: The Case for Intelligent Pool Pumps in Florida,” in Proceedings of the Conference on Decision and Control, Florence, Italy, Dec. 2013.Google Scholar
[289]Gholian, A., Mohsenian-Rad, H., and Hua, Y., “Optimal Industrial Load Control in Smart Grid,IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 23052316, Sep. 2016.Google Scholar
[290]Lessem, N., Faruqui, A., Sergici, S., and Mountain, D., “The Impact of Time-of-Use Rates in Ontario,Public Utilities Fortnightly, pp. 5687, Feb. 2017.Google Scholar
[291]EnerNOC Inc., “The Demand Response Baseline,” White Paper, 2009. https://www.naesb.org/pdf4/dsmee_group3_100809w3.pdf.Google Scholar
[292]XENERGY Inc., “Protocol Development for Demand Response Calculation – Draft Findings and Recommendations,” Aug. 2002. www.calmac.org/publications/2002-08-02_XENERGY_REPORT.pdf.Google Scholar
[293]Oyedokun, J., Bu, S., Han, Z., and Liu, X., “Customer Baseline Load Estimation for Incentive-Based Demand Response Using Long Short-Term Memory Recurrent Neural Network,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, Bucharest, Romania, Sep. 2019.Google Scholar
[294]Wijaya, T. K., Vasirani, M., and Aberer, K., “When Bias Matters: An Economic Assessment of Demand Response Baselines for Residential Customers,IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 17551763, Jul. 2014.Google Scholar
[295]Weng, Y. and Rajagopal, R., “Probabilistic Baseline Estimation via Gaussian Process,” in Proceedings of the IEEE Power and Energy Society General Meeting, Denver, CO, Jul. 2015.Google Scholar
[296]Zhang, Y., Chen, W., Xu, R., and Black, J., “A Cluster-Based Method for Calculating Baselines for Residential Loads,IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 23682377, Sep. 2016.Google Scholar
[297]Albert, A. and Rajagopal, R., “Smart Meter Driven Segmentation: What Your Consumption Says About You,IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 40194030, Nov. 2013.Google Scholar
[298]Kwac, J., Flora, J., and Rajagopal, R., “Household Energy Consumption Segmentation Using Hourly Data,IEEE Transactions on Smart Grid, vol. 5, no. 1, pp. 420430, Jan. 2014.Google Scholar
[299]Chaouch, M., “Clustering-Based Improvement of Nonparametric Functional Time Series Forecasting: Application to Intra-Day Household-Level Load Curves,IEEE Transactions on Smart Grid, vol. 5, no. 1, pp. 411419, Jan. 2014.Google Scholar
[300]Teeraratkul, T., O’Neill, D., and Lall, S., “Shape-Based Approach to Household Electric Load Curve Clustering and Prediction,IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 51965206, Sep. 2018.Google Scholar
[301]Dinesh, C., Makonin, S., and Bajić, I. V., “Residential Power Forecasting Using Load Identification and Graph Spectral Clustering,IEEE Transactions on Circuits and Systems II, vol. 66, no. 11, pp. 19001904, Nov. 2019.Google Scholar
[302]Hopf, K., Sodenkamp, M., Kozlovkiy, I., and Staake, T., “Feature Extraction and Filtering for Household Classification Based on Smart Electricity Meter Data,Computer Science Research and Development, vol. 31, no. 3, pp. 141148, Aug. 2016.Google Scholar
[303]McClendon, D., “American Electric Power—Meter Remote Connect/Disconnect,” 2011. https://smartgrid.epri.com/UseCases/Meter%20Remote%20Connect%20Disconnect_ph2add.pdf.Google Scholar
[304]Mullenmaster, B., “American Electric Power—Outage Notification,” 2011. https://smartgrid.epri.com/UseCases/Outage%20Notification_ph2add.pdf.Google Scholar
[305]Jiang, Y., Liu, C.-C., Diedesch, M., Lee, E., and Srivastava, A. K., “Outage Management of Distribution Systems Incorporating Information from Smart Meters,IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 41444154, Sep. 2016.Google Scholar
[306]PR Newswire, “World Loses $89.3 Billion to Electricity Theft Annually, $58.7 Billion in Emerging Markets,” Dec. 2014. www.prnewswire.com/news-releases/world-loses-893-billion-to-electricity-theft-annually-587-billion-in-emerging-markets-300006515.html.Google Scholar
[307]Nagi, J., Yap, K. S., Tiong, S. K., Ahmed, S. K., and Mohamad, M., “Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines,IEEE Transactions on Power Delivery, vol. 25, no. 2, pp. 11621171, Apr. 2010.Google Scholar
[308]Sahoo, S., Nikovski, D. N., Muso, T., and Tsuru, K., “Electricity Theft Detection Using Smart Meter Data,” in Proceedings of the IEEE PES COnference on Innovative Smart Grid Technologies, Washington, DC, Feb. 2015.Google Scholar
[309]Wang, Y., Chen, Q., Hong, T., and Kang, C., “Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges,IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 31253148, May 2019.Google Scholar
[310]Dyson, M. E. H., Borgeson, S. D., Tabone, M. D., and Callaway, D. S., “Using Smart Meter Data to Estimate Demand Response Potential with Application to Solar Energy Integration,Energy Policy, vol. 73, pp. 607619, Oct. 2014.Google Scholar
[311]Albert, A. and Rajagopal, R., “Finding the Right Consumers for Thermal Demand-Response: An Experimental Evaluation,IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 564572, Mar. 2018.Google Scholar
[312]Dehghanpour, K., Wang, Z., Wang, J., Yuan, Y., and Bu, F., “A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems,IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 23122322, Mar. 2019.Google Scholar
[313]Alimardani, A., Therrien, F., Atanackovic, D., Jatskevich, J., and Vaahedi, E., “Distribution System State Estimation Based on Nonsynchronized Smart Meters,IEEE Transactions on Smart Grid, vol. 6, no. 6, pp. 29192928, Nov. 2015.Google Scholar
[314]Feng, X., Yang, F., and Peterson, W., “A Practical Multi-Phase Distribution State Estimation Solution Incorporating Smart Meter and Sensor Data,” in Proceedings of the IEEE Power and Energy Society General Meeting, San Diego, CA, Jul. 2012.Google Scholar
[315]Peppanen, J., Reno, M. J., Thakkar, M., Grijalva, S., and Harley, R. G., “Leveraging AMI Data for Distribution System Model Calibration and Situational Awareness,IEEE Transactions on Smart Grid, vol. 6, no. 4, pp. 20502059, Jul. 2015.Google Scholar
[316]Pappu, S. J., Bhatt, N., Pasumarthy, R., and Rajeswaran, A., “Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data,IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 51135122, Sep. 2018.Google Scholar
[317]Shah, B., Bose, A., and Srivastava, A., “Load Modeling and Voltage Optimization Using Smart Meter Infrastructure,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, Washington, DC, Feb. 2013.Google Scholar
[318]U.S. Department of Energy, “Advanced Metering Infrastructure and Customer Systems: Results from the Smart Grid Investment Grant Program,” Sep. 2016.Google Scholar
[319]Luan, W. and Li, W., “Smart Metering and Infrastructure,” in Smart Grids: Clouds, Communications, Open Source, and Automation, Bakken, D., Ed. Boca Raton, FL: CRC Press, 2014, pp. 399420.Google Scholar
[320]Bavarian, S., Lampe, L., Siew, C., Lancashire, S., and Adeleye, K., “Leveraging the Smart Metering Infrastructure in Distribution Automation,” in Proceedings of the IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, Nov. 2012.Google Scholar
[321]Itron Inc, “Meter Data Management: A Key to the Utility of the Future,” Dec. 2012, www.smart-energy.com/regional-news/north-america/meter-data-management-a-key-to-the-utility-of-the-future/Google Scholar
[322]Zeifman, M. and Roth, K., “Nonintrusive Appliance Load Monitoring: Review and Outlook,IEEE Transactions on Consumer Electronics, vol. 57, no. 1, pp. 7684, Feb. 2011.Google Scholar
[323]Hart, G. W., “Nonintrusive Appliance Load Monitoring,Proceedings of the IEEE, vol. 80, no. 12, pp. 18701891, Dec. 1992.Google Scholar
[324]He, D., Lin, W., Liu, N., Harley, R. G., and Habetler, T. G., “Incorporating Non-Intrusive Load Monitoring Into Building Level Demand Response,IEEE Transactions on Smart Grid, vol. 4, no. 4, 1870.Google Scholar
[325]Liang, J., Ng, S. K. K., Kendall, G., and Cheng, J. W. M., “Load Signature Study–Part II: Disaggregation Framework, Simulation, and Applications,IEEE Transactions on Power Delivery, vol. 25, no. 2, pp. 561569, Apr. 2010.Google Scholar
[326]Spanyol, T., “Smart Meter Data: A Behavioural Marketer’s Dream?Journal of Direct, Data and Digital Marketing Practice, vol. 14, pp. 6669, Aug. 2012.Google Scholar
[327]Armel, A., Gupta, A., Shrimali, G., and Albert, A., “Is Disaggregation the Holy Grail of Energy Efficiency? The Case of Electricity,Energy Policy, vol. 52, pp. 213234, Jan. 2013.Google Scholar
[328]Zoha, A., Gluhak, A., Imran, M. A., and Rajasegarar, S., “Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey,Sensors, vol. 12, pp. 1683816866, Dec. 2012.Google Scholar
[329]Liang, J., Ng, S. K. K., Kendall, G., and Cheng, J. W. M., “Load Signature Study–Part I: Basic Concept, Structure, and Methodology,IEEE Transactions on Power Delivery, vol. 25, no. 2, pp. 551560, Apr. 2010.Google Scholar
[330]Koutitas, G. C. and Tassiulas, L., “Low Cost Disaggregation of Smart Meter Sensor Data,IEEE Sensors Journal, vol. 16, no. 6, pp. 16651673, Mar. 2016.Google Scholar
[331]Chen, D. and Irwin, D., “SunDance: Black-box Behind-the-Meter Solar Disaggregation,” in Proceedings of the ACM International Conference on Future Energy Systems, Shatin, Hong Kong, May 2017.Google Scholar
[332]Vrettos, E., Kara, E. C., Stewart, E. M., and Roberts, C., “Estimating PV Power from Aggregate Power Measurements Within the Distribution Grid,Journal of Renewable and Sustainable Energy, vol. 11, no. 2, Apr. 2019.Google Scholar
[333]Tabone, M., Kiliccote, S., and Kara, E. C., “Disaggregating Solar Generation Behind Individual Meters in Real Time,” in Proceedings of the ACM Conference on Systems for Built Environments, Shenzhen, China, Nov. 2018.Google Scholar
[334]Ghonima, M., Urquhart, B., Chow, C., Shields, J., Cazorla, A., and Kleissl, J., “A Method for Cloud Detection and Opacity Classification Based on Ground Based Sky Imagery,Atmospheric Measurement Techniques, vol. 5, no. 11, 2881.Google Scholar
[335]Cheung, C. M., Zhong, W., Xiong, C., Srivastava, A., Kannan, R., and Prasanna, V. K., “Behind-the-Meter Solar Generation Disaggregation Using Consumer Mixture Models,” in Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Aalborg, Denmark, Oct. 2018.Google Scholar
[336]Kabir, F., Yu, N., Yao, W., Yang, R., and Zhang, Y., “Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models,” in Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Beijing, China, Oct. 2019.Google Scholar
[337]Kolter, J. Z. and Johnson, M. J., “REDD: A Public Data Set for Energy Disaggregation Research,” in Proceedings of the ACM SustKDD Workshop on Data Mining Applications in Sustainability, San Diego, CA, Aug. 2011.Google Scholar
[338]Milla, X. M., “Building Energy Management Systems Technology for HVAC, Lighting, and Outlets with Smart Sensor Networks,” master’s thesis, Department of Electrical Engineering, California State University, Long Beach, CA, 2018.Google Scholar
[339]Metallidou, C. K., Psannis, K. E., and Egyptiadou, E. A., “Energy Efficiency in Smart Buildings: IoT Approaches,IEEE Access, vol. 8, pp. 6367963699, Mar. 2020.CrossRefGoogle Scholar
[340]Tran, D. H., Nazari, M. H., Sadeghi-Mobarakeh, A., and Mohsenian-Rad, H., “Smart Building Design: A Framework for Optimal Placement of Smart Sensors and Actuators,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, Washington, DC, Jan. 2019.Google Scholar
[341]Kosterev, D., Meklin, A., Undrill, J., Lesieutre, B., Price, W., Chassin, D., Bravo, R., and Yang, S., “Load Modeling in Power System Studies: WECC Progress Update,” in Proceedings of the IEEE Power and Energy Society General Meeting, Pittsburgh, PA, Jul. 2008.Google Scholar
[342]Renmu, H., Jin, M., and Hill, D. J., “Composite Load Modeling via Measurement Approach,IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 663672, May 2006.Google Scholar
[343]Shahsavari, A., Farajollahi, M., and Mohsenian-Rad, H., “Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events,IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 46524664, Nov. 2019.Google Scholar
[344]Zhang, X., Grijalva, S., and Reno, M. J., “A Time-Variant Load Model Based on Smart Meter Data Mining,” in Proceedings of the IEEE PES General Meeting, National Harbor, MD, Jul. 2014.Google Scholar
[345]Zhu, L., Li, X., Ouyang, H., Wang, Y., Liu, W., and Shao, K., “Research on Component-Based Approach Load Modeling Based on Energy Management System and Load Control Strength,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies, Asia, Tianjin, China, May 2012.Google Scholar
[346]Gaikwad, A., Markham, P., and Pourbeik, P., “Implementation of the WECC Composite Load Model for Utilities Using the Component-Based Modeling Approach,” in Proceedings of the IEEE PES Transmission and Distribution Conference and Exposition, Dallas, TX, May 2016.Google Scholar
[347]Arif, A., Wang, Z., Wang, J., Mather, B., Bashualdo, H., and Zhao, D., “Load Modeling — A Review,IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 59865999, Nov. 2018.Google Scholar
[348]Bokhari, A., Alkan, A., Dogan, R., Diaz-Aguiló, M., de León, F., Czarkowski, D., Zabar, Z., Birenbaum, L., Noel, A., and Uosef, R. E., “Experimental Determination of the ZIP Coefficients for Modern Residential, Commercial, and Industrial Loads,IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 13721381, Jun. 2014.Google Scholar
[349]IEEE Task Force on Load Representation for Dynamic Performance, “Load Representation for Dynamic Performance Analysis,IEEE Transactions on Power Systems, vol.8, no. 2, pp. 472482, May 1993.Google Scholar
[350]Vignesh, V., Chakrabarti, S., and Srivastava, S. C., “Power System Load Modelling under Large and Small Disturbances Using Phasor Management Units Data,IET Generation, Transmission & Distribution, vol. 9, no. 12, pp. 13161323, Apr. 2015.Google Scholar
[351]IEEE Task Force on Load Representation for Dynamic Performance, “Standard Load Models for Power Flow and Dynamic Performance Simulation,IEEE Transactions on Power Systems, vol. 10, no. 3, pp. 13021313, Aug. 1995.Google Scholar
[352]Hill, D. J., “Nonlinear Dynamic Load Models with Recovery for Voltage Stability Studies,IEEE Transactions on Power Systems, vol. 8, no. 1, pp. 166176, Feb. 1993.Google Scholar
[353]Milanović, J., Yamashita, K., Villanueva, S. M., Djokic, S., and Korunović, L. Milanović, J. V., Yamashita, K., Villanueva, S. M., Å¡. Djokic, S., and Korunović, L. M., “International Industry Practice on Power System Load Modeling,IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 30383046, Aug. 2013.Google Scholar
[354]Electric Power Research Institute, “Measurement-Based Load Modeling,” Report Number 1014402, Palo Alto, CA, 2006.Google Scholar
[355]Chang, G. W., Chen, C.I., Liu, Y. J., “A Neural-Network-Based Method of Modeling Electric Arc Furnace Load for Power Engineering Study,IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 138146, Feb. 2010.Google Scholar
[356]Abur, A. and Exposito, A. G., Power System State Estimation: Theory and Implementation. New York, NY: Marcel Dekker, 2004.Google Scholar
[357]Mathworks, “Help Center–lsqnonlin,” www.mathworks.com/help/optim/ug/lsqnonlin.html.Google Scholar
[358]Wu, F. F., “Power System State Estimation: A Survey,International Journal of Electrical Power and Energy Systems, vol. 12, no. 2, pp. 8087, Apr. 1990.Google Scholar
[359]Ahmad, M., Power System State Estimation, Boston, MA: Artech House, 2013.Google Scholar
[360]Monticelli, A., State Estimation in Electric Power Systems: A Generalized Approach. Boston, MA: Kluwer Academic Publishers, 1999.Google Scholar
[361]Crow, M. L., Computational Methods for Electric Power Systems, 3rd ed. Boca Raton, FL: CRC Press, 2016.Google Scholar
[362]Stott, B., Jardim, J., and Alsac, O., “DC Power Flow Revisited,IEEE Transactions on Power Systems, vol. 24, no. 3, pp. 12901300, Aug. 2009.Google Scholar
[363]Lavaei, J. and Low, S. H., “Zero Duality Gap in Optimal Power Flow Problem,IEEE Transactions on Power Systems, vol. 27, no. 1, pp. 92107, Feb. 2012.Google Scholar
[364]Jabr, R. A., “Radial Distribution Load Flow Using Conic Programming,IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 14581459, Aug. 2006.Google Scholar
[365]Molzahn, D., Holzer, J., Lesieutre, B., and DeMarco, C., “Implementation of a Large-Scale Optimal Power Flow Solver Based on Semidefinite Programming,IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 39873998, Nov. 2013.Google Scholar
[366]Low, S., “Convex Relaxation of Optimal Power Flow–Part I: Formulations and Equivalence,IEEE Transactions on Control of Network Systems, vol. 1, no. 1, pp. 1527, Mar. 2014.Google Scholar
[367]Low, S., “Convex Relaxation of Optimal Power Flow–Part II: Exactness,IEEE Transactions on Control of Network Systems, vol. 1, no. 2, pp. 177189, Jun. 2014.Google Scholar
[368]Zhu, Hao and Giannakis, Georgios B., “Power System Nonlinear State Estimation Using Distributed Semidefinite Programming,IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 6, pp. 10391050, Dec. 2014.Google Scholar
[369]Weng, Y., Li, Q., Negi, R., and Ilić, M., “Distributed Algorithm for SDP State Estimation,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, Washington, DC, Feb. 2013.Google Scholar
[370]Yang, R. and Zhang, Y., “Three-Phase AC Optimal Power Flow Based Distribution Locational Marginal Price,” in Proceedings of the IEEE North American Power Symposium, Charlotte, NC, Oct. 2015.Google Scholar
[371]Yao, Y., Liu, X., Zhao, D., and Li, Z., “Distribution System State Estimation: A Semidefinite Programming Approach,IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 43694378, Jul. 2019.Google Scholar
[372]Zhang, J., Welch, G., Bishop, G., and Huang, Z., “A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation,IEEE Transactions on Sustainable Energy, vol. 5, no. 2, pp. 629636, Apr. 2014.Google Scholar
[373]Valverde, G. and Terzija, V., “Unscented Kalman Filter for Power System Dynamic State Estimation,IET Generation, Transmission & Distribution , vol. 5, no. 1, pp. 2937, Jan. 2011.Google Scholar
[374]Newtons4th Ltd, “3 Phase 2 Wattmeter Power Measurements Explained—Application Note 14,” Mar. 2012, www.newtons4th.com/wp-content/uploads/2010/03/APP014-3-Phase-2-Wattmeter-Explained.pdf.Google Scholar
[375]Arya, V., Seetharam, D., Kalyanaraman, S., Dontas, K., Pavlovski, C., Hoy, S., and Kalagnanam, J. R., “Phase Identification in Smart Grids,” in Proceedings of IEEE International Conference on Smart Grid Communications, Oct. 2011.Google Scholar
[376]CVX Research, “Mixed-Integer Support in CVX 2.0.” http://cvxr.com/news/2012/08/midcp/.Google Scholar
[377]International Business Machines, “IBM CPLEX Optimizer: High-Performance Mathematical Programming Solver for Linear Programming, Mixed-Integer Programming and Quadratic Programming.” www.ibm.com/analytics/cplex-optimizer.Google Scholar
[378]Zipp, K., “Three Become One: The Rise of Three-Phase Solar String Inverters,” Sep. 2014, www.solarpowerworldonline.com/2014/09/three-become-one-rise-three-phase-solar-string-inverters/.Google Scholar
[379]Chen, Jiaqi and Guo, Ye and Wu, Wenchuan, “Optimal Dispatch Scheme for DSO and Prosumers by Implementing Three-Phase Distribution Locational Marginal Prices,IET Generation, Transmission & Distribution, vol. 14, pp. 21382146, Jun. 2020.Google Scholar
[380]Yang, R. and Zhang, Y., “Three-Phase AC Optimal Power flow Based Distribution Locational Marginal Price,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Apr. 2017.Google Scholar
[381]Faqiry, M. N. and Wang, L. and Wu, H., “HEMS-Enabled Transactive Flexibility in Three-Phase Unbalanced Distribution Systems,Journal of Modern Power Systems and Clean Energy, vol. 7, no. 6, pp. 14341449, Jul. 2019.Google Scholar
[382]Baran, M. E. and Kelley, A. W., “State Estimation for Real-Time Monitoring of Distribution Systems,IEEE Transactions on Power Systems, vol. 9, no. 3, pp. 16011609, Aug. 1994.Google Scholar
[383]Yao, Y., Liu, X., Zhao, D., and Li, Z., “Distribution System State Estimation: A Semidefinite Programming Approach,IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 43694378, Jul. 2019.Google Scholar
[384]Deng, Y., and He, Y., and Zhang, B., “A Branch-estimation-Based State Estimation Method for Radial Distribution Systems,IEEE Transactions on Power Systems, vol. 17, no. 4, pp. 10571062, Oct. 2002.Google Scholar
[385]Wang, G., Giannakis, G. B., Chen, J., and Sun, J., “Distribution System State Estimation: An Overview of Recent Developments,Frontiers of Information Technology & Electronic Engineering, vol. 20, no. 1, pp. 417, 2019.Google Scholar
[386]Czarnecki, L. S. and Haley, P. M., “Unbalanced Power in Four-Wire Systems and Its Reactive Compensation,IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 5363, Feb. 2015.Google Scholar
[387]AIEE Committee, “Apparent Power in Three-Phase Systems,Transactions of AIEE, vol. 39, pp. 14501455, 1920.Google Scholar
[388]Buchholz, F., “The Apparent Three-Phase Power in the Event of an Uneven Load on the Three Branches,Light Power, pp. 911, Jan. 1922.Google Scholar
[389]American National Standards Institute, “ANSI C12.20-2015: American National Standard for Electricity Meters—0.1, 0.2, and 0.5 Accuracy Classes,” Feb. 2017.Google Scholar
[390]Mooney, T. and Martin, D., “Increasing Metering Accuracy by Optimizing the Analog to Digital Converter Characteristics,” in Proceedings of the IEEE Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources, Clemson, SC, Mar. 2006.Google Scholar
[391]Bell, S., “A Beginner’s Guide to Uncertainty of Measurement,IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 133, Aug. 1999.Google Scholar
[392]SATEC Power Solutions Ltd, “Accuracy Class: A Small “S” That Makes a Big Difference,” Jul. 2018, www.satec-global.com/sites/default/files/Application-note_Accuracy-Class_July2018.pdfGoogle Scholar
[393]Electric Power Research Institute, “Accuracy of Digital Electricity Meters,” Report Number 1020908, Palo Alto, CA, 2010.Google Scholar
[394]WÄŹgierek, P. and Konarski, M., “The Temperature Effect on Measurement Accuracy of the Smart Electricity Meter,Electrical Review, vol. 92, no. 8, pp. 148150, 2016.Google Scholar
[396]Bhela, S., Kekatos, V., and Veeramachaneni, S., “Enhancing Observability in Distribution Grids Using Smart Meter Data,IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 59535961, Nov. 2018.Google Scholar
[397]Bhela, S., Kekatos, V., Zhang, L., and Veeramachaneni, S., “Enhancing Observability in Power Distribution Grids,IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2017.Google Scholar
[398]Caird, K. J., “Meter Phase Identification,” U.S. Patent Number 0164473. https://patents.google.com/patent/US20100164473A1/en.Google Scholar
[399]Arnold, D. B., Negrete-Pincetic, M., Sankur, M. D., Auslander, D. M., and Callaway, D. S., “Model-Free Optimal Control of VAR Resources in Distribution Systems: An Extremum Seeking Approach,IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 35833593, Sep. 2016.Google Scholar
[400]Shelton, M. L., Winkelman, P. F., Mittelstadt, W. A., and Bellerby, W. J., “Bonneville Power Administration 1400-MW Braking Resistor,IEEE Transactions on Power Apparatus and Systems, vol. 94, no. 2, pp. 602611, Mar. 1975.Google Scholar
[401]Hauer, J. F., Trudnowski, D. J., and DeSteese, J. G., “A Perspective on WAMS Analysis Tools for Tracking of Oscillatory Dynamics,” in Proceedings of the IEEE Power Engineering Society General Meeting, Tampa, FL, Jun. 2007.Google Scholar
[402]International Council on Large Electric Systems, “Impact of Interactions among Power System Controls,CIGRE Technical Brochure, May 2000.Google Scholar
[403]Hauer, J. F., Mittelstadt, W. A., Martin, K. E., Burns, J., Lee, H., Pierre, J., and Trudnowski, D. J., “Use of the WECC WAMS in Wide-Area Probing Tests for Validation of System Performance and Modeling,IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 250257, Feb. 2009.Google Scholar
[404]Ljung, L., System Identification Theory for the User. Upper Saddle River, NJ: Prentice Hall, 1999.Google Scholar
[405]Lampe, L., Tonello, A., and Shaver, D., “Power Line Communications for Automation Networks and Smart Grid,IEEE Communications Magazine, vol. 49, no. 12, pp. 2627, Dec. 2011.Google Scholar
[406]Yigit, M., Gungor, V. C., Tuna, G., Rangoussi, M., and Fadel, E., “Power Line Communication Technologies for Smart Grid Applications: A Review of Advances and Challenges,Computer Networks, vol. 70, no. 9, pp. 366383, Sep. 2014.Google Scholar
[407]Rao, R., Akella, S., and Guley, G., “Power Power Line Carrier (PLC) Signal Analysis of Smart Meters for Outlier Detection,” in Proceedings of the IEEE International Conference on in Smart Grid Communications, Oct. 2011.Google Scholar
[408]Sendin, A., Peña, I., and Angueira, P., “Strategies for Power Line Communications Smart Metering Network Deployment,Energies, vol. 7, pp. 23772420, 2014.Google Scholar
[409]Berger, L. T., Schwager, A., and Escudero-Garzás, J. J., “Power Line Communications for Smart Grid Applications,Journal of Electrical and Computer Engineering, pp. 116, Mar. 2013.Google Scholar
[410]Galli, S., Scaglione, A., and Wang, Z., “For the Grid and through the Grid: The Role of Power Line Communications in the Smart Grid,” in Proceedings of the IEEE, vol. 99, no. 6, pp. 9981027, Jun. 2011.Google Scholar
[411]Costa, L. G. S., Queiroz, A. C. M., Adebisi, B., Costa, V. L. R., and Ribeiro, M. V., “Coupling for Power Line Communication: A Survey,Journal of Communication and Information System, vol. 32, no. 1, pp. 822, 2017.Google Scholar
[412]Ferreira, H., Lampe, L., Newbury, J., and Swart, T., “Industrial and International Standards on PLC Base Networking Technologies,” in Power Line Communications: Theory and Applications for Narrowband and Broadband Communications over Power Lines, S. Galli, M. Koch, H. Latchman, S. Lee, and V. Oksman, Eds. New York: Wiley, 2010, pp. 377426.Google Scholar
[413]Fink, D. and Jeung, R. J., “Feasible Connectivity Solutions of PLC for Rural and Remote Areas,Proceedings of the IEEE International Symposium on Power Line Communications and Its Applications, Apr. 2008.Google Scholar
[414]Liu, W., Sigle, M., and Dostert, K., “Channel Characterization and System Verification for Narrowband Power Line Communication in Smart Grid Applications,IEEE Communications Magazine, vol. 49, no. 12, pp. 2835, Dec. 2011.Google Scholar
[415]Huo, Y., Prasad, G., Atanackovic, L., Lampe, L., and Leung, V. C. M., “Cable Diagnostics with Power Line Modems for Smart Grid Monitoring,IEEE Access, vol. 7, pp. 6020660220, 2019.Google Scholar
[416]Forstel, L. and Lampe, L., “Grid Diagnostics: Monitoring Cable Aging Using Power Line Transmission,” in Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, Apr. 2017.Google Scholar
[417]Yang, F., Ding, W., and Song, J., “Non-intrusive Power Line Quality Monitoring Based on Power Line Communications,” in Proceedings of the IEEE International Symposium on Power Line Communications and Its Applications, Mar. 2013.Google Scholar
[418]Erseghe, T., Tomasin, S., Member, S., and Vigato, A., “Topology Estimation for Smart Micro Grids via Powerline Communications,IEEE Transactions on Signal Processing, vol. 61, no. 13, pp. 33683377, Jul. 2013.Google Scholar
[419]Ahmed, M. O. and Lampe, L., “Power Line Communications for Low-Voltage Power Grid Tomography,IEEE Transactions on Communications, vol. 61, no. 12, pp. 51635175, Dec. 2013.Google Scholar
[420]Lampe, L. and Ahmed, M. O., “Power Grid Topology Inference Using Power Line Communications,” in Proceedings of the IEEE International Conference on Smart Grid Communications, Oct. 2013.Google Scholar
[421]Huo, Y., Prasad, G., Atanackovic, L., Lampe, L., and Leung, V. C., “Grid Surveillance and Diagnostics using Power Line Communications,” in Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, Apr. 2018.Google Scholar
[422]Rao, R., Akella, S., and Guley, G., “Power Line Carrier (PLC) Signal Analysis of Smart Meters for Outlier Detection,” in Proceedings of the IEEE International Conference on Smart Grid Communications, Oct. 2011.Google Scholar
[423]Byun, H. J. and Shon, S. G., “Cable and Phase Identification Based on Power Line Communication,International Journal of Control and Automation, vol. 8, no. 9, pp. 6374, 2015.Google Scholar
[424]Woo, J. J., Byun, H. J., and Shon, S. G., “Cable Identification as a New Application of Power Line Communication Technology,Advanced Science and Technology Letters, vol. 95, pp. 1721, 2015.Google Scholar
[425]Passerini, F. and Tonello, A., “Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization,IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 61786186, Nov. 2019.Google Scholar
[426]Passerini, F. and Tonello, A., “Power Line Network Topology Identification Using Admittance Measurements and Total Least Squares Estimation,” in Proceedings of the IEEE International Conference on Communications, Paris, France, May 2017.Google Scholar
[427]Lehmann, A. M., Raab, K., Gruber, F., Fischery, E., Muller, R., and Huber, J. B., “A Diagnostic Method for Power Line Networks by Channel Estimation of PLC Devices,Proceedings of the IEEE International Conference on Smart Grid Communications, Nov. 2016.Google Scholar
[428]Wang, M., Vandermaar, A. J., and Srivastava, K. D., “Review of Condition Assessment of Power Transformers in Service,IEEE Electrical Insulation Magazine, vol. 18, pp. 1225, Nov. 2002.Google Scholar
[429]Jahromi, A., Piercy, R., Cress, S., Service, J., and Fan, W., “An Approach to Power Transformer Asset Management Using Health Index,IEEE Electrical Insulation Magazine, vol. 25, no. 2, pp. 2034, Mar. 2009.Google Scholar
[430]Sun, C., Ohodnicki, P. R., and Stewart, E. M., “Chemical Sensing Strategies for Real-Time Monitoring of Transformer Oil: A Review,IEEE Sensors Journal, vol. 17, no. 18, pp. 57865806, Aug. 2017.Google Scholar
[431]Moodley, N. and Gaunt, C. T., “Low Energy Degradation Triangle for Power Transformer Health Assessment,IEEE Transactions on Dielectrics and Electrical Insulation, vol. 24, no. 1, pp. 639646, Feb. 2017.Google Scholar
[432]General Electric, “Multilin DGCC Capacitor Bank Controller,” 2019. www.gegridsolutions.com/multilin/catalog/dgcc.htm.Google Scholar
[433]Allen-Bradley, “Bulletin 1413 Capacitor Bank Controller,” 2019. https://rexel-cdn.com/products/1413-cap-me.pdf?i=8DB02F34-16CA-42C3-8131-30BB08CD0A68.Google Scholar
[434]Tollgrade Communications, “Capacitor Bank Monitoring: Application Guide,” 2014. www.enghousenetworks.com/tollgrade/smart-grid-resources/application-guides/.Google Scholar
[435]Liu, J., “Dynamic Line Rating in Power Systems,” Master’s Thesis, Department of Electrical and Computer Engineering, University of California at Riverside, Riverside, CA, Mar. 2017.Google Scholar
[436]CIGRE Study Committee B2, “Technical Brochure 324: Sag-Tension Calculation Methods for Overhead Lines,” Jun. 2007.Google Scholar
[437]Douglass, D., Chisholm, W., and Davidson, G., “Real-Time Overhead Transmission-Line Monitoring for Dynamic Rating,IEEE Transactions on Power Delivery, vol. 31, pp. 921927, Jun. 2016.Google Scholar
[438]Márquez, F. P. G., Tobias, A. M., Pérez, J. M. P., and Papaelias, M., “Condition Monitoring of Wind Turbines: Techniques and Methods,Renewable Energy, vol. 46, pp. 169178, 2012.Google Scholar
[439]ONYX InSight Inc., “CASE STUDY 1: Main Bearing Fault Detection and Grease Flushing,” https://onyxinsight.com/monitoring-software/.Google Scholar
[440]Mekhilef, S., Saidur, R., and Kamalisarvestani, M., “Effect of Dust, Humidity and Air Velocity on Efficiency of Photovoltaic Cells,Renewable and Sustainable Energy Reviews, vol. 16, no. 5, pp. 29202925, Jun. 2012.Google Scholar
[441]Tsamaase, K., Ramasesane, T., Zibani, I., Matlotse, E., and Motshidisi, K., “Automated Dust Detection and Cleaning System of PV Module,IOSR Journal of Electrical and Electronics Engineering, vol. 12, no. 6, pp. 9398, Nov. 2017.Google Scholar
[442]Guo, B., Javed, W., Figgis, B. W., and Mirza, T., “Effect of Dust and Weather Conditions on Photovoltaic Performance in Doha, Qatar,” in Proceedings of the IEEE Workshop on Smart Grid and Renewable Energy, Mar. 2015.Google Scholar
[443]Taylor, Z., Akhavan-Hejazi, H., and Mohsenian-Rad, H., “Optimal Operation of Grid-Tied Energy Storage Systems Considering Detailed Device-Level Battery Models,IEEE Transactions on Industrial Informatics, pp. 112, Aug. 2019.Google Scholar
[444]U.S. Department of Energy, “An Assessment of Energy Technologies and Research Opportunities—Chapter 5: Increasing Efficiency of Building Systems and Technogies,” Sep. 2015. www.energy.gov/sites/default/files/2017/03/f34/qtr-2015-chapter5.pdf.Google Scholar
[445]Xu, Z., Guan, X., Jia, Q.-S., Wu, J., Wang, D., and Chen, S., “Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management,IEEE Transactions on Smart Grid, vol. 3, no. 4, pp. 21362147, Dec. 2012.Google Scholar
[446]Chen, C., Wang, J., Heo, Y., and Kishore, S., “MPC-Based Appliance Scheduling for Residential Building Energy Management Controller,IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 14011410, Sep. 2013.Google Scholar
[447]Hurtado, L. A., Nguyen, P. H., and Kling, W. L., “Agent-Based Control for Building Energy Management in the Smart Grid Framework,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies, Istanbul, Turkey, Oct. 2014.Google Scholar
[448]Dilouie, C., “All about occupancy and vacancy sensors,” Aug. 2017. https://lightingcontrolsassociation.org/2017/08/21/all-about-occupancy-and-vacancy-sensors/.Google Scholar
[449]Samani, E., Khaledian, P., Aligholian, A., Papalexakis, E., Cun, S., Nazari, M. H., and Mohsenian-Rad, H., “Anomaly Detection in IoT-Based PIR Occupancy Sensors to Improve Building Energy Efficiency,” in Proceedings of the IEEE Innovative Smart Grid Technologies, Washington, DC, Feb. 2020.Google Scholar
[450]CSULB Research Foundation, “Internet of Things and Ubiquitous Sensing in University Building Energy Management: Design Optimization and Technology Demonstration.” https://ceqanet.opr.ca.gov/2017038493.Google Scholar
[451]SensMax Inc., “Real-Time Wireless Bidirectional People Counter,” https://sensmax.eu/devices/.Google Scholar
[452]Howard, B., Acha, S., Shah, N., and Polak, J., “Implicit Sensing of Building Occupancy Count with Information and Communication Technology Data Sets,Building and Environment, vol. 157, pp. 297308, Jun. 2019.Google Scholar
[455]Akrami, A., Khaledian, P., Akhavan-Hejazi, H., Aligholian, A., Samani, E., and Mohsenian-Rad, H., “Impact on EMS on Academic Building Operation Report: CEC Project Report—EPIC-16-033,” 2019.Google Scholar
[456]Veldman, E. and Verzijlbergh, R. A., “Distribution Grid Impacts of Smart Electric Vehicle Charging from Different Perspectives,IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 333342, Jan. 2015.Google Scholar
[457]Semsar, S., Soong, T., and Lehn, P. W., “On-Board Single-Phase Integrated Electric Vehicle Charger with V2G Functionality,IEEE Transactions on Power Electronics, vol. 35, no. 11, pp. 12 07212 084, Nov. 2020.Google Scholar
[458]Tidjani, F. S., Hamadi, A., Chandra, A., Saghir, B., Mounir, B., and Garoum, M., “Energy Management of Micro Grid Based Electrical Vehicle to the Building (V2B),” in Proceedings of the IEEE International Renewable and Sustainable Energy Conference, Agadir, Morocco, Nov. 2019.Google Scholar
[459]Xie, F., Huang, M., Zhang, W., and Li, J., “Research on Electric Vehicle Charging Station Load Forecasting,” in Proceedings of the IEEE International Conference on Advanced Power System Automation and Protection, Beijing, China, Oct. 2011.Google Scholar
[460]Majidpour, M., Qiu, C., Chu, P., Gadh, R., and Pota, H. R., “Modified Pattern Sequence-Based Forecasting for Electric Vehicle Charging Stations,” in Proceedings of the IEEE International Conference on Smart Grid Communications, Venice, Italy, Nov. 2014.Google Scholar
[461]Pacific Gas and Electric, “Time of Use Pricing,” www.portlandgeneral.com/residential/power-choices/time-of-use/time-of-use-pricing, 2020.Google Scholar
[462]Primadianto, A. and Lu, C.-N., “A Review on Distribution System State Estimation,IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 38753883, Sep. 2017.Google Scholar
[463]Hoffman, R., “Practical State Estimation for Electric,” in Proceedings of the IEEE PES Power Systems Conference and Exposition, Atlanta, GA, Nov. 2006.Google Scholar
[464]California Independent System Operator. www.caiso.com.Google Scholar
[465]California Independent System Operator, “California ISO Open Access Same-Time Information System.” http://oasis.caiso.com/.Google Scholar
[466]Mohsenian-Rad, H., “Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market,IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 442453, Jan. 2016.Google Scholar
[467]Jang, H. S., Bae, K. Y., Park, H.-S., and Sung, D. K., “Solar Power Prediction Based on Satellite Images and Support Vector Machine,IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 12551263, 2016 2016.Google Scholar
[469]NASA Earth Observatory, “Camp Fire Rages in California.” https://earthobservatory.nasa.gov/images/144225/camp-fire-rages-in-california.Google Scholar
[470]Wai-Chow, C., Urquhart, B., Lave, M., Dominguez, A., Kleissl, J., Shields, J., and Washom, B., “Intra-Hour Forecasting with a Total Sky Imager at the UC San Diego Solar Energy Testbed,Solar Energy, vol. 85, no. 11, pp. 28812893, Nov. 2011.Google Scholar
[471]Molaei, A., Taghirad, H. D., and Dargahi, J., “Extracting of Sagging Profile of Overhead Power Transmission Line Via Image Processing,” in Proceedings of the IEEE Canadian Conference on Electrical & Computer Engineering, Quebec City, QC, May 2018.Google Scholar
[472]Xie, J., Stefanov, A., and Liu, C.-C., “Physical and Cyber Security in a Smart Grid Environment,Wiley Interdisciplinary Reviews: Energy and Environment, vol. 5, no. 5, pp. 519542, Mar. 2016.Google Scholar
[473]Dong, P. and Chen, Q., LiDAR Remote Sensing and Applications. Boca Raton, FL: CRC Press, 2018.Google Scholar
[474]Frank, M., Pan, Z., Raber, B., and Lenart, C., “Vegetation Management of Utility Corridors Using High-Resolution Hyperspectral Imaging and LiDAR,” in Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Reykjavik, Iceland, Jun. 2010.Google Scholar
[475]Matikainen, L., Lehtomäki, M., Ahokas, E., Hyyppä, J., Karjalainen, M., Jaakkola, A., Kukko, A., and Heinonen, T., “Remote Sensing Methods for Power Line Corridor Surveys,ISPRS Journal of Photogrammetry and Remote Sensing, vol. 119, pp. 1031, Sep. 2016.Google Scholar
[476]Ishino, R. and Tsutsumi, F., “Detection System of Damaged Cables Using Video Obtained from an Aerial Inspection of Transmission Lines,” in Proceedings of the IEEE PES General Meeting, Denver, CO, Jun. 2004.Google Scholar
[477]McLaughlin, R., “Extracting Transmission Lines From Airborne LIDAR Data,IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 2, pp. 222226, Apr. 2006.Google Scholar
[478]Ha, H., Han, S., and Lee, J., “Fault Detection on Transmission Lines Using a Microphone Array and an Infrared Thermal Imaging Camera,IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 1, pp. 267275, Jan. 2012.Google Scholar
[479]Jiang, B., Sample, A. P., Wistort, R. M., and Mamishev, A. V., “Autonomous Robotic Monitoring of Underground Cable Systems,” in Proceedings of the IEEE International Conference on Advanced Robotics, Seattle, WA, Jul. 2005.Google Scholar
[480]Hongguang, W., Yong, J., Aihua, L., Lijin, F., and Lie, L., “Research of Power Transmission Line Maintenance Robots in SIACAS,” in Proceedings of the IEEE International Conference on Applied Robotics for the Power Industry, Montreal, QC, Oct. 2010.Google Scholar
[481]Rocha, J. and Sequeira, J., “The Development of a Robotic System for Maintenance and Inspection of Power Lines,” in Proceedings of the International Symposium on Robotics, Paris, France, Mar. 2004.Google Scholar
[482]Menendez, O., Cheein, F. A. A., Perez, M., and Kouro, S., “Robotics in Power Systems: Enabling a More Reliable and Safe Grid,IEEE Industrial Electronics Magazine, vol. 11, no. 2, pp. 2234, Jun. 2017.Google Scholar
[483]Jiang, B. and Mamishev, A., “Robotic Monitoring of Power Systems,IEEE Transactions on Power Delivery, vol. 19, no. 3, pp. 912918, Jul. 2004.Google Scholar
[484]Katrasnik, J., Pernus, F., and Likar, B., “A Survey of Mobile Robots for Distribution Power Line Inspection,IEEE Transactions on Power Delivery, vol. 25, no. 1, pp. 485493, Jan. 2010.Google Scholar
[485]Cummins, K. L., Krider, E. P., and Malone, M. D., “The USNational Lightning Detection NetworkTM and Applications of Cloud-to-Ground Lightning Data by Electric Power Utilities,IEEE Transactions on Electromagnetic Compatibility, vol. 40, no. 4, pp. 465480, Nov. 1998.Google Scholar
[486]Wang, C. and Wang, S., “The Automatic Routing System of Urban Mid-Voltage Distribution Network Based on Spatial GIS,Proceedings of the International Conference on Power System Technology, Nov. 2004.Google Scholar
[487]Hong, T., Pinson, P., Fan, S., Zareipour, H., Troccoli, A., and Hyndman, R. J., “Probabilistic Energy Forecasting: Global Energy Forecasting Competition 2014 and Beyond,International Journal of Forecasting, vol. 32, no. 3, pp. 914938, Jul. 2016.Google Scholar
[488]Aparicio, J., Rosca, J., Mediger, M., Essl, A., Arzig, K., and Develder, C., “Exploiting Road Traffic Data for Very Short Term Load Forecasting in Smart Grids,” in Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, Washington, DC, Feb. 2014.Google Scholar
[489]Nejat, A. and Mohsenian-Rad, H., “Electric Load Forecasting: A Multi-Agent Systems Approach,” in Proceedings of the IEEE International Conference on Intelligent Transportation Systems, Anchorage, AK, Sep. 2012.Google Scholar
[490]Guo, Q., Xin, S., Sun, H., Li, Z., and Zhang, B., “Rapid-Charging Navigation of Electric Vehicles Based on Real-Time Power Systems and Traffic Data,IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 19691979, Jul. 2014.Google Scholar
[491]Aiello, M. and Pagani, G. A., “The Smart Grid’s Data Generating Potentials,” in Proceedings of the Federated Conference on Computer Science and Information Systems, Warsaw, Poland, Sep. 2014.Google Scholar
[492]Huang, Y., Warnier, M., Brazier, F., and Miorandi, D., “Social Networking for Smart Grid Users,” in Proceedings of the IEEE International Conference on Networking, Sensing and Control, Taipei, Taiwan, Apr. 2015.Google Scholar
[493]Alternative Energy Institute, West Texas A & M University, www.windenergy.org/.Google Scholar
[494]Akhavan-Hejazi, H., Mohsenian-Rad, H., and Nejat, A., “Developing a Test Data Set for Electric Vehicle Applications in Smart Grid Research,Proceedings of the IEEE Vehicular Technology Conference, Sep. 2014.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • References
  • Hamed Mohsenian-Rad, University of California, Riverside
  • Book: Smart Grid Sensors
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108891448.009
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Hamed Mohsenian-Rad, University of California, Riverside
  • Book: Smart Grid Sensors
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108891448.009
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Hamed Mohsenian-Rad, University of California, Riverside
  • Book: Smart Grid Sensors
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108891448.009
Available formats
×