广东电力2018，Vol.31Issue(5)：134-139,6.DOI:10.3969/j.issn.1007-290X.2018.005.021
基于自适应蚁群算法的配电网故障恢复
Power Distribution Network Fault Recovery Based on Self-adaptive Ant Colony Algorithm
摘要
Abstract
Self-recovery ability of the power distribution network can ensure load regain power by optimization selection of the switches after the failure,which is forceful to construct the power distribution network. Therefore,the paper presents a kind of optimization method based on improved self-adaptive ant colony algorithm which has the higher global optimizing a-bility and faster convergence speed and is able to rapidly find the global optimum under the constraint conditions. Finally,in allusion to the situation of multiple power supply points in one actual power distribution network,the paper proves the pro-posed algorithm is superior to other common ant colony algorithms in convergence and searching for optimal solution.关键词
配电网自动化/故障恢复/蚁群算法/配电网/目标函数Key words
power distribution network automation/fault recovery/ant colony algorithm/power distribution network/ob-jective function分类
信息技术与安全科学引用本文复制引用
刘加国,王庆,单来支,高运兴,叶俊,陈德伟..基于自适应蚁群算法的配电网故障恢复[J].广东电力,2018,31(5):134-139,6.基金项目
国网山东省电力公司科技项目(2017A-108) （2017A-108）
