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Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm

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2 Author(s)
Wen, F.S. ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; Chang, C.S.

A systematic and mathematically sound model and a refined genetic algorithm (RGA) based method for fault-section estimation in power systems is proposed. First, the probabilistic causality relationship among section fault, protective relay action and circuit breaker trip is formulated as a probabilistic causality matrix. Secondly, the well-developed parsimonious set covering theory is applied to the fault-section estimation problem, and a 0-1 integer programming model is then obtained. Thirdly, a RGA-based method for fault-section estimation is developed by using information on operations of protective relays and circuit breakers. The proposed method is versatile and can deal with uncertainties in fault-section estimation, such as protective relay failures and/or malfunction and circuit breaker failures and/or malfunction. Test results for a sample power system have shown that the probabilistic approach developed for fault-section estimation is feasible and efficient

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Generation, Transmission and Distribution, IEE Proceedings-  (Volume:144 ,  Issue: 2 )