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Robust optimisation of the spring actuator in a vacuum circuit breaker†

Published online by Cambridge University Press:  04 September 2014

GANG CHEN ,
BO SUN ,
XIAOMING LIU  and
ERZHI WANG
GANG CHEN
Affiliation:
Faculty of Information Science and Engineering, Shenyang Ligong University, Shenyang, China Email: [email protected]; [email protected]
BO SUN
Affiliation:
Faculty of Information Science and Engineering, Shenyang Ligong University, Shenyang, China Email: [email protected]; [email protected]
XIAOMING LIU
Affiliation:
School of Electrical Engineering, Shenyang University of Technology, Shenyang, China Email: [email protected]; [email protected]
ERZHI WANG
Affiliation:
School of Electrical Engineering, Shenyang University of Technology, Shenyang, China Email: [email protected]; [email protected]
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Abstract

We present a concept of robust optimisation design for the spring actuator in a 10 kV/12.5 kA vacuum circuit breaker. We assume the breaking and closing velocity characteristics, which are derived form the technical data of the interrupter, as the specifications for the problem, and take the lengths of the connecting rods of the actuator and the stiffness coefficients of the breaking and closing springs as the optimisation variables. The variance between the specifications and the velocities calculated at each breaking and closing point and the maximal variation allowed by the design variables within acceptable tolerances make up the multiple objective function. The optimal parameters for the spring actuator are given by solving a non-linear programming problem with multiple targets and two-level optimisation.

Type
Paper
Information
Mathematical Structures in Computer Science , Volume 24 , Special Issue 5: Mathematical Method in Intelligent Computing and Automation , October 2014 , e240520
Copyright
Copyright © Cambridge University Press 2014 

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Footnotes

†

This work was financially supported by the National Natural Science Foundation of China (50877048) and the Program for New Century Excellent Talents in University of China (NECT080863).

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