Please use this identifier to cite or link to this item:
|Title:||Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm|
|Authors:||Wen, F.S. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 23, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.