电测与仪表2016，Vol.53Issue(17)：44-48,54,6.
基于模糊自适应模拟退火遗传算法的配电网故障定位
Fault location of distribution networks based on fuzzy adaptive simulated annealing genetic algorithm
摘要
Abstract
Due to the shortcomings of fault location system of distribution networks and the problems of genetic algo -rithm which is prone to premature convergence and its convergence speed is slow , this paper proposes a fuzzy adaptive simulated annealing genetic algorithm ( FASAGA) combining with fuzzy inference and adaptive simulated annealing genetic algorithm .This algorithm improves fault tolerance of the fitness function , adopts the adaptive strategy and the optimal individual reserve strategy in genetic selection , calculates fuzzy adaptive crossover operator and fuzzy adaptive mutation operator combining with fuzzy inference and adaptive strategy , and adopts simulated annealing algorithm to improve convergence speed and local search ability .The accuracy , speediness and high tolerant performance of this algorithm applied to the fault location of distribution networks are verified by simulation results .关键词
配电网/故障定位/模糊推理/模拟退火/自适应/遗传算法Key words
distribution network/fault location/fuzzy inference/simulated annealing/adaptive/genetic algorithm分类
信息技术与安全科学引用本文复制引用
徐密,孙莹,李可军,肖文文..基于模糊自适应模拟退火遗传算法的配电网故障定位[J].电测与仪表,2016,53(17):44-48,54,6.
