Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81018
Title: Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm
Authors: Wen, F.S. 
Chang, C.S. 
Keywords: Fault-section estimation
Genetic algorithm
Power system
Probabilistic method
Issue Date: 1997
Source: Wen, F.S.,Chang, C.S. (1997). Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm. IEE Proceedings: Generation, Transmission and Distribution 144 (2) : 160-168. ScholarBank@NUS Repository.
Abstract: 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. © IEE, 1997.
Source Title: IEE Proceedings: Generation, Transmission and Distribution
URI: http://scholarbank.nus.edu.sg/handle/10635/81018
ISSN: 13502360
Appears in Collections:Staff Publications

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