Resilience Engineering for Power and Communications Systems Networked Infrastructure in Extreme Events
Book contents
- Resilience Engineering for Power and Communications Systems
- Resilience Engineering for Power and Communications Systems
- Copyright page
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Fundamental Supporting Concepts
- 3 Resilience Models and Metrics
- 4 Dependencies and Interdependencies and Their Effect on Resilience
- 5 Disaster Forensics of Infrastructure Systems
- 6 Electric Power Grid Resilience
- 7 Resilience of Information and Communication Networks
- 8 Integrated Electric Power and Communications Infrastructure Resilience
- 9 Infrastructure Systems Planning for Improved Resilience
- Index
- References
4 - Dependencies and Interdependencies and Their Effect on Resilience
Published online by Cambridge University Press: 04 January 2024
Book contents
- Resilience Engineering for Power and Communications Systems
- Resilience Engineering for Power and Communications Systems
- Copyright page
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Fundamental Supporting Concepts
- 3 Resilience Models and Metrics
- 4 Dependencies and Interdependencies and Their Effect on Resilience
- 5 Disaster Forensics of Infrastructure Systems
- 6 Electric Power Grid Resilience
- 7 Resilience of Information and Communication Networks
- 8 Integrated Electric Power and Communications Infrastructure Resilience
- 9 Infrastructure Systems Planning for Improved Resilience
- Index
- References
Summary
This chapter initially explains how dependencies are established when at least a part of an infrastructure system requires the provision of the service to function. Although the focus is on functional dependencies, this chapter also explores physical and conditional dependencies. Resilience metrics presented in previous chapters are broadened in order to represent the effect of dependencies on resilience levels. Dependencies established within an infrastructure system are also explained. The concept of buffer as a local storage of the resources related to the depending service is defined as part of these expanded metrics, and then it is exemplified by examining a practical application of such buffers: power plants for information and communication network (ICN) sites. After introducing the main concepts and ideas related to dependencies, this chapter takes a broader view by discussing interdependencies when those are established both directly and indirectly. The study of interdependencies for electric power grids and ICN also explores the relationship with other infrastructures, such as transportation networks and water distribution systems, and with community social systems.
- Type
- Chapter
- Information
- Resilience Engineering for Power and Communications SystemsNetworked Infrastructure in Extreme Events, pp. 161 - 194Publisher: Cambridge University PressPrint publication year: 2024
References
Petit, F., Verner, D., Brannegan, D., et al., “Analysis of Critical Infrastructures Dependencies and Interdependencies,” Argonne National Laboratory Report ANL/GSS 15–4, June 2015.CrossRefGoogle Scholar
Buldyrev, S. V. Parshani, R., Paul, G., et al., “Catastrophic cascade of failures in interdependent networks.” Nature, vol. 464, pp. 1025–1028, Apr. 2010.CrossRefGoogle ScholarPubMed
Shekhtman, L. M., Shai, S., and Havlin, S., “Resilience of networks formed of interdependent modular networks.” New Journal of Physics, vol. 17, pp. 1–11, Dec. 2015.CrossRefGoogle Scholar
Shin, D.-H., Qian, D., and Zhang, J., “Cascading effects in interdependent networks.” IEEE Networks, vol. 28, no. 4, pp. 82–87, July/Aug. 2014.CrossRefGoogle Scholar
Liu, R.-R., Jia, C.-X., and Lai, Y.-C., “Asymmetry in interdependence makes a multilayer system more robust against cascading failures.” Physical Review E, vol. 100, pp. 1–20, Nov. 2019.CrossRefGoogle ScholarPubMed
Rinaldi, S. M., Peerenboom, J. P., and Kelly, T. K., “Identifying, understanding, and analyzing critical infrastructure interdependencies.” IEEE Control Systems, vol. 21, no. 11, pp. 11–25, Dec. 2001.Google Scholar
Rahimi, K. and Davoudi, M., “Electric vehicles for improving resilience of distribution systems.” Sustainable Cities and Society, vol. 36, pp. 246–256, Jan. 2018.CrossRefGoogle Scholar
Ustun, T. S., Cali, U., and Kisacikoglu, M. C., “Energizing Microgrids with Electric Vehicles during Emergencies: Natural Disasters, Sabotage and Warfare,” in Proceedings of the 2015 IEEE International Telecommunications Energy Conference (INTELEC), pp. 1–6. https://ieeexplore.ieee.org/xpl/conhome/7565276/proceeding.CrossRefGoogle Scholar
Ji, X., Wang, B., Liu, D., et al., “Improving interdependent networks robustness by adding connectivity links.” Physica A: Statistical Mechanics and Its Applications, vol. 444, pp. 9–19, Feb. 2016.CrossRefGoogle Scholar
Hernández, J. M., Wang, H., Van Mieghem, P., and D’Agostino, G., “Algebraic connectivity of interdependent networks.” Physica A: Statistical Mechanics and Its Applications, vol. 404, pp. 92–105, June 2014.CrossRefGoogle Scholar
Gao, J., Buldyrev, S. V., Stanley, H. E., and Havlin, S., “Networks formed from interdependent networks.” Nature Physics, vol. 8, pp. 40–48, Dec. 2011.CrossRefGoogle Scholar
Kwasinski, A., “Modeling of Cyber-Physical Intra-Dependencies in Electric Power Grids and Their Effect on Resilience,” in Proceedings of the 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Sydney, Australia, pp. 1–6, April 21, 2020.CrossRefGoogle Scholar
Kwasinski, A., “Numerical Evaluation of Communication Networks Resilience with a Focus on Power Supply Performance during Natural Disasters,” in Proceedings of INTELEC 2015, Osaka, Japan, pp. 1–7, Oct. 2015.CrossRefGoogle Scholar
Kwasinski, A., “Local Energy Storage as a Decoupling Mechanism for Interdependent Infrastructures,” in Proceedings of the 2011 IEEE International Systems Conference, Montreal, QC, Canada, pp. 435–441, Apr. 2011.CrossRefGoogle Scholar
Kwasinski, A., Weaver, W., and Balog, R., Micro-grids in Local Area Power and Energy Systems, Cambridge University Press, Cambridge, 2016.CrossRefGoogle Scholar
Yotsumoto, K., Muroyama, S., Matsumura, S., and Watanabe, H., “Design for a Highly Efficient Distributed Power Supply System Based on Reliability Analysis,” in Proceedings of INTELEC 1988, pp. 545–550, Oct.–Nov. 1988. doi: https://doi.org/10.1109/INTLEC.1988.22406.CrossRefGoogle Scholar
Kwasinski, A., Andrade, F., Castro-Sitiriche, M. J., and O’Neill, Efraín, “Hurricane Maria effects on Puerto Rico electric power infrastructure.” IEEE Power and Energy Technology Systems Journal, vol. 6, no. 1, pp. 85–94, Mar. 2019.CrossRefGoogle Scholar
US Presidential Policy Directive 21 – Critical Infrastructure Security and Resilience, Feb. 2013. https://obamawhitehouse.archives.gov/the-press-office/2013/02/12/presidential-policy-directive-critical-infrastructure-security-and-resil.Google Scholar
Kwasinski, A., “Quantitative model and metrics of electrical grids’ resilience evaluated at a power distribution level.” Energies, vol. 9, p. 93, 2016.CrossRefGoogle Scholar
Willis, H. H. and Loa, K., “Measuring the Resilience of Energy Distribution Systems,” RAND Corporation Document Number: RR-883-DOE, 2015.Google Scholar
Keogh, M. and Cody, C., “Resilience in Regulated Utilities,” The National Association of Regulatory Utility Commissioners (NARUC), Nov. 2013.Google Scholar
Kwasinski, A. and Krishnamurthy, V., “Generalized Integrated Framework for Modeling Communications and Electric Power Infrastructure Resilience,” in Proceedings of INTELEC 2017, Gold Coast, Australia, pp. 1–8, Oct. 2017. https://doi.org/10.1109/INTLEC.2017.8211686.CrossRefGoogle Scholar
Farrell, D. and Wheat, C., “Cash Is King: Flows, Balances, and Buffer Days. Evidence from 600,000 Small Businesses,” J. P. Morgan Chase & Co. Institute Report, Sept. 2016. https://institute.jpmorganchase.com/institute/research/small-business/report-cash-flows-balances-and-buffer-days.htm.Google Scholar