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期刊论文

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

文福拴F. S.Wen C.S.Chang

IEE Proc.-Gener. Transm. Distrib, Vol. 144, No.2 March 1997, 160~169,-0001,():

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摘要/描述

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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版权说明:以下全部内容由文福拴上传于   2005年03月31日 22时55分44秒,版权归本人所有。

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