电器与能效管理技术Issue(13)：24-27,4.
基于萤火虫算法的配电网状态估计研究
Distribution State Network Estimation Research Based on Glowworm Swarm Optimization
张海梁 1孙婉胜2
作者信息
- 1. 国网浙江省电力公司培训中心，浙江 杭州 310015
- 2. 国网浙江省电力公司客户服务中心，浙江 杭州 310009
- 折叠
摘要
Abstract
A kind method of distribution network state estimation research based on glowworm swarm optimization was proposed.This method makes full use of good strike global extreme and search capabilities of glowworm swarm optimization algorithms.The node voltage is used as state variables to compute nodes inject complex power and branch current,the weighted least squares method is applied to calculate the value of the fitness function value,the fitness function values is changed to glowworm swarm fluorescent in the end.Constantly updating state variables,the best state estimation results are the position of glowworm swarm with largest fluorescein.The numerical example shows that the method has good accuracy,adaptability and fast convergence.The method can be applied to distribution network state estimation.关键词
萤火虫优化算法/状态估计/配电网/自动化Key words
glowworm swarm optimization/state estimation/distribution network/automation分类
信息技术与安全科学引用本文复制引用
张海梁,孙婉胜..基于萤火虫算法的配电网状态估计研究[J].电器与能效管理技术,2015,(13):24-27,4.
