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| Rule Extraction for Power System Fault Diagnosis Based on the Combination of Rough Sets and Niche Genetic Algorithm |
| Zhang Zhiyi, Yuan Rongxiang, Yang Tongzhong, Liu Minzhong |
| Wuhan University Wuhan 430072 China |
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Abstract When using the rough set theory for power system fault diagnosis the reduction process of the decision table is the key. The paper presents the decision table of the rough set theory, takes the signals of protection relays and circuit breakers of all kinds of fault cases as condition attributes and makes fault sections as value attributes to build the decision table. Considering the highly efficient of the niche genetic algorithm for the optimization of multi-peak functions, a algorithm based on niche genetic algorithm is proposed to obtain more optimal reductions of the rough sets and then to extract diagnosis rules. The simulation result shows that the validity and feasibility of the proposed algorithm.
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Received: 07 September 2007
Published: 11 February 2014
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作者简介: 张志毅 女, 1972年生, 博士, 目前研究方向为智能优化方法及电力系统的恢复控制。袁荣湘 男, 1965年生, 教授, 主要研究方向为电力系统继电保护、电力系统运行与控制。 |
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2009, Vol. 24 
