电力系统及其自动化学报2019，Vol.31Issue(3)：29-34,6.DOI:10.3969/j.issn.1003-8930.2019.03.005
基于双态二进制粒子群优化算法的配电网故障定位
Fault Location in Distribution Network Based on BBPSO Algorithm
摘要
Abstract
Considering that the binary particle swarm optimization algorithm is easy to converge for fault location in a complex distribution network,a bi-state binary particle swarm optimization algorithm is put forward. Through the intro?duction of evolution factors,the particle swarm is divided into two parts,i.e.,predation and exploration states,then a global search can be performed by the particles that have fallen or will fall into the local extremum. An evaluation func?tion for fault location is constructed,and a 33-bus distribution network is taken as an example. Under the conditions of intact information and partial distortion,the proposed algorithm and the binary particle swarm optimization algorithm are used to simulate and analyze the single-and multi-point fault location in the distribution network,respectively. Re?sults show that the novel algorithm is highly efficient and fault-tolerant.关键词
双态二进制粒子群优化算法/配电网/故障定位/容错性Key words
bi-state binary particle swarm optimization(BBPSO)algorithm/distribution network/fault location/fault-tolerant分类
信息技术与安全科学引用本文复制引用
钟建伟,朱涧枫,黄秀超,周玉超,张建业,黄谋甫..基于双态二进制粒子群优化算法的配电网故障定位[J].电力系统及其自动化学报,2019,31(3):29-34,6.基金项目
国家自然科学基金资助项目(51767004) （51767004）
广西科学研究与技术开发计划资助项目(桂科合1599005-2-14) （桂科合1599005-2-14）
