电力系统保护与控制Issue(4)：33-37,5.
基于粒子群和差分进化算法的含分布式电源配电网故障区段定位
Fault-section location for distribution networks with DG based on a hybrid algorithm of particle swarm optimization and differential evolution
摘要
Abstract
As distributed generations in distribution networks have brought much influence to the fault current, the traditional fault-section location method of distribution networks may not work. By building a new switch function, this paper puts forward a new fault-section location method. The proposed method is based on a binary hybrid algorithm and can adapt itself to the change caused by the switching of DG. The positive direction needs to be determined only once, when the proposed method is used to locate multiple fault sections in multi-source distribution networks. The binary hybrid algorithm which is a combination of particle swarm optimization and differential evolution is based on a two-population evolution scheme and an information exchange mechanism. The simulation results indicate that the proposed method has accurate fault-section location abilities when it is used to locate single fault or multiple faults. In addition, the fault-tolerance and efficiency of the proposed method is verified by the results.关键词
粒子群/差分进化/混合算法/双种群/分布式电源/多重故障定位Key words
particle swarm optimization/differential evolution/hybrid algorithm/double-population/distributed generation/multiple fault location分类
信息技术与安全科学引用本文复制引用
周湶,郑柏林,廖瑞金,李剑,马小敏,徐智..基于粒子群和差分进化算法的含分布式电源配电网故障区段定位[J].电力系统保护与控制,2013,(4):33-37,5.基金项目
国家重点基础研究发展计划(973计划)(2009CB 724507) （973计划）
国家创新研究群体基金(51021005) （51021005）
