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

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3 Author(s)
Chang, C.S. ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; Jiang, W.Q. ; Elangovan, S.

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

Published in:

Power Engineering Society Winter Meeting, 2000. IEEE  (Volume:2 )

Date of Conference:

2000