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基于改进二进制万有引力算法的含DG配电网故障定位

张志文 刘军 周冠东 范威 周滔

电力系统及其自动化学报2018,Vol.30Issue(4):30-34,5.
电力系统及其自动化学报2018,Vol.30Issue(4):30-34,5.DOI:10.3969/j.issn.1003-8930.2018.04.005

基于改进二进制万有引力算法的含DG配电网故障定位

Fault Location in Distribution Network with Distributed Generations Based on Improved Binary Gravitational Search Algorithm

张志文 1刘军 1周冠东 2范威 1周滔1

作者信息

  • 1. 湖南大学电气与信息工程学院,长沙410082
  • 2. 国网湖南省电力公司,长沙410007
  • 折叠

摘要

Abstract

To improve the accuracy and rapidity of fault location in distribution network with distributed generations (DGs),this paper improves the location updating formula in the traditional binary gravitational search algorithm(BG?SA)and adds a population initialization formula to BGSA,so that the improved algorithm can be applied to the fault lo?cation in distribution network.Considering the problems of premature convergence and optimization accuracy in BGSA, an self-adaptive attenuation coefficient α is defined,which improves the accuracy of BGSA effectively. The improved BGSA is applied to the fault location in distribution network with DGs,and the feasibility and validity of this algorithm is verified by a numerical example.Results indicate that the proposed algorithm can improve the accuracy of fault loca?tion for complicated distribution network with a fast convergent speed and excellent fault-tolerant ability.

关键词

故障定位/万有引力搜索算法/分布式电源/衰减系数

Key words

fault location/gravitational search algorithm(GSA)/distributed generation/attenuation coefficient

分类

信息技术与安全科学

引用本文复制引用

张志文,刘军,周冠东,范威,周滔..基于改进二进制万有引力算法的含DG配电网故障定位[J].电力系统及其自动化学报,2018,30(4):30-34,5.

基金项目

国家自然科学基金资助项目(51477046) (51477046)

湖南省创新创业技术资助项目(2017GK5021) (2017GK5021)

国家电网公司资助项目(5216A014007V) (5216A014007V)

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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