电测与仪表2012，Vol.49Issue(9)：24-27,51,5.
基于改进粒子群算法的配电网状态估计
Distribution State Estimation Based on Improved Particle Swarm Optimization
刘耀年 1尹洪全 1张伟 2李振清 1沈量1
作者信息
- 1. 东北电力大学电气工程学院,吉林吉林132012
- 2. 内蒙古东部电力有限公司通辽电业局,内蒙古通辽028000
- 折叠
摘要
Abstract
Based on non -linear characteristics of distributed generation (DG) and measurement configuration features in distribution network; this paper introduced natural selection mechanism into theparticle swarm optimization (PSO) algorithm to enhance the global search ability; and overcome the shortcoming of PSO that it is easy to fall into local optimal solution. This paper applied the improved PSO algorithm to the distributed state estimation. A numerical example simulation shows that its convergence speed and estimation accuracy will greatly improve; and it can prove the superiority of the algorithm.关键词
分布式发电/配电网系统状态估计/改进粒子群优化算法/IWAKey words
distributed generation/ distribution state estimation/ improved particle swarm optimization/ voltage regulator/ IWA分类
信息技术与安全科学引用本文复制引用
刘耀年,尹洪全,张伟,李振清,沈量..基于改进粒子群算法的配电网状态估计[J].电测与仪表,2012,49(9):24-27,51,5.
