电测与仪表Issue(12)：53-57,5.
基于模糊PSO-BP神经网络的配电网故障选线方法
Fuzzy PSO-BP Neural Network Method of Distribution Network Fault Line
郝静 1朱锋 1王韵然 2兰华 1许云仕 1李琳琳3
作者信息
- 1. 东北电力大学 电气工程学院,吉林吉林132012
- 2. 中石油北京长城钻探公司,北京100020
- 3. 辽宁省抚顺供电公司保护自动化所,辽宁抚顺113008
- 折叠
摘要
Abstract
This paper proposes fuzzy particle swarm optimization method of BP neural network into a single distribution network in the phase to ground fault line. The matlab simmulation tests show that it obtained the line of zero sequence current signals and a variety of extract characteristic information fusion. We use particle swarm optimization method of fuzzy BP neural network for fault line. The results show that this method has more training speed and lower false positives than the traditional fuzzy BP neural network method, and the system can meet the power requirements for precision and accuracy.关键词
粒子群优化算法/故障选线/BP神经网络/零序电流信号Key words
particle swarm optimization, fault line, BP neural network, zero sequence current signals分类
信息技术与安全科学引用本文复制引用
郝静,朱锋,王韵然,兰华,许云仕,李琳琳..基于模糊PSO-BP神经网络的配电网故障选线方法[J].电测与仪表,2011,(12):53-57,5.
