基于改进蝙蝠算法的配电网故障区段定位

许峻宁; 陈璟华; 荣泽成; 武宁

doi:10.12052/gdutxb.190097

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基于改进蝙蝠算法的配电网故障区段定位

综合研究 | 更新时间：2026-05-27

- 基于改进蝙蝠算法的配电网故障区段定位
- Fault Section Location of Distribution Network Based on Improved Bat Algorithm
- 广东工业大学学报 2020年37卷第5期页码：62-67
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
  
  许峻宁(1995–)，男，硕士研究生，主要研究方向为电力系统安全运行与控制
- 基金信息：
  
  中央财政支持地方高校发展专项资金资助项目([2016]202号)
- DOI：10.12052/gdutxb.190097
  中图分类号： TM743
- 网络首发：2020-09-17，
  
  纸质出版：2020
- 稿件说明：
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许峻宁, 陈璟华, 荣泽成, 武宁. 基于改进蝙蝠算法的配电网故障区段定位[J]. 广东工业大学学报, 2020, 37(5): 62-67.

Xu Jun-ning, Chen Jing-hua, Rong Ze-cheng, et al. Fault Section Location of Distribution Network Based on Improved Bat Algorithm[J]. 2020, 37(5): 62-67.
许峻宁, 陈璟华, 荣泽成, 武宁. 基于改进蝙蝠算法的配电网故障区段定位[J]. 广东工业大学学报, 2020, 37(5): 62-67. DOI： 10.12052/gdutxb.190097.

Xu Jun-ning, Chen Jing-hua, Rong Ze-cheng, et al. Fault Section Location of Distribution Network Based on Improved Bat Algorithm[J]. 2020, 37(5): 62-67. DOI： 10.12052/gdutxb.190097.

摘要

提出一种将自适应理论、差分进化和蝙蝠优化算法结合的改进蝙蝠算法

解决电力系统配电网故障区段定位典型的含0-1离散约束条件及逻辑求值的最优化问题。将蝙蝠算法的全局寻优能力用于配电网故障区段的搜索和定位

在寻优过程中引入差分进化算法

并对算法的变异和交叉等操作进行自适应优化处理

解决传统蝙蝠算法容易陷入局部最优的缺陷。算例仿真结果表明

该算法能准确快速地定位配电网故障区段

并具有良好的容错性。

Abstract

An improved bat algorithm combining adaptive theory

differential evolution and bat optimization algorithm is proposed to solve the typical 0-1 discrete constraints and optimization problem of logic evaluation for fault section location in power distribution network. The global optimization ability of bat algorithm is used to iteratively optimize the fault section of distribution network. At the same time

aiming at the disadvantage that single algorithm is easy to fall into local optimum

differential evolution algorithm is introduced into the process of bat algorithm

and the mutation and crossover operation of the algorithm are adaptively optimized. The simulation results indicate that the algorithm can accurately and effectively locate the fault section of distribution network

and has better fault tolerance.

关键词

Keywords

references

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