改进的分布估计算法在配电网故障定位中的应用

doi:10.3969/j.issn.0255-8297.2017.01.003

应用科学学报 ›› 2017, Vol. 35 ›› Issue (1): 21-30.doi: 10.3969/j.issn.0255-8297.2017.01.003

改进的分布估计算法在配电网故障定位中的应用

王思明, 童安蓉

兰州交通大学自动化与电气工程学院, 兰州 730070

收稿日期:2015-07-22 修回日期:2015-12-13 出版日期:2017-01-30 发布日期:2017-01-30
作者简介:王思明,教授,研究方向:嵌入式系统开发、智能信息处理,E-mail:wangsm64@qq.com
基金资助:
国家自然科学基金（No.61263004）资助

Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks

WANG Si-ming, TONG An-rong

School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Received:2015-07-22 Revised:2015-12-13 Online:2017-01-30 Published:2017-01-30

摘要/Abstract

摘要：

针对配电网馈线故障定位所采用的智能算法存在的初始种群规模大、迭代次数多、容易早熟收敛等缺点，采用细菌觅食算法与分布估计算法相结合的方法来实现配电网的故障定位.将分布估计算法的全局搜索优势与细菌觅食趋化算子的局部搜索优势相结合，从而改善分布估计算法存在的局部搜索能力不足和早期收敛慢的特点.实例表明，改进的分布估计算法可以有效解决多源开环配电网故障定位问题，并具有良好的准确性、快速性和容错性.

关键词: 配电网, 分布估计算法, 故障定位, 细菌觅食

Abstract:

In locating fault sections on the feeder of a distribution network, artifcial intelligence algorithms have shortcomings such as large initial population, too many iterations and premature convergence.Thus, an algorithm for distribution estimation based on bacterial foraging (BF-EDA) is proposed.To enhance local optimization capability and avoid premature estimation of distribution algorithm (EDA), bacterial foraging behavior is introduced into the EDA.Experimental results show that the BF-EDA can effectively locate faults in a multiple source ring-open distribution network with good accuracy, rapidity and fault tolerance.

Key words: estimation of distribution algorithm (EDA), bacterial foraging, distribution network, fault location

中图分类号:

TM727

王思明, 童安蓉. 改进的分布估计算法在配电网故障定位中的应用[J]. 应用科学学报, 2017, 35(1): 21-30.

WANG Si-ming, TONG An-rong. Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks[J]. Journal of Applied Sciences, 2017, 35(1): 21-30.

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改进的分布估计算法在配电网故障定位中的应用

Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks

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