NDLI: Worst-case performance assessment of switching overvoltage and mitigation for mass rapid transit system using genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Chang, C.S. Jiang, W.Q. Elangovan, S.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore (Chang, C.S.)
Abstract	For effective insulation coordination of mass rapid transit systems, it is important to develop techniques for determining the worst-case switching overvoltages and for evaluating the most appropriate mitigation scheme. The appropriate techniques should provide accurate modelling of various system-related and device-related factors. The latter factors are however subjected to performance degradation due to ageing of switching devices or mitigation schemes, mechanical imperfections, pre-strikes etc. This paper proposes a genetic-algorithm-based optimisation method, which formulates all these factors into a rigorous mathematical framework. The paper shows that the proposed method is more reliable, accurate, comprehensive and consistent than two well-accepted statistical techniques. Case studies are performed with the switching of utility capacitor on a typical mass rapid transit system.
Starting Page	1289
Ending Page	1298
File Size	777673
Page Count	10
File Format	PDF
ISBN	0780359356
DOI	10.1109/PESW.2000.850131
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-01-23
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage control Optimization methods Surges EMTP Insulation Control systems Circuit breakers Character recognition Probability distribution Mechanical systems
Content Type	Text
Resource Type	Article

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