Optimum allocation of distributed power network based on improved PSO and AHP algorithm - 文章详情页

作者：

Liu, W. (Liu, W..) | Zhang, H.-Y. (Zhang, H.-Y..) | Shi, J. (Shi, J..) | Sun, Y.-G. (Sun, Y.-G..) | Qu, P. (Qu, P..)

收录：

Scopus PKU CSCD

摘要：

The　appearance　of　Distributed　Generation　(DGs)　in　power　systems　may　reduce　the　number　and/or　duration　of　interruptions　for　customer　residing　within　their　protection　zones.　DGs　can　also　improve　the　losses　and　voltage　profile　of　system.　To　optimize　not　only　the　allocations　of　distributed　generators,　but　also　the　allocations　of　reclosers,　a　new　method　was　proposed,　which　was　composed　of　improved　Particle　Swarm　Optimization　Algorithm　(PSO)　and　Analysis　Hierarchical　Process　(AHP).　The　proposed　method　used　improved　PSO　algorithm　for　the　optimal　placement　and　capacity　of　DGs　and　reclosers　in　the　network.　And　the　AHP　method　was　carried　out　for　the　optimal　number　of　reclosers　and　DGs　based　on　the　factors　such　as　the　profit,　the　power　quality　and　so　on.　This　method　was　carried　out　on　a　33　feeders　IEEE　distribution　network.　And　simulation　results　validate　the　effectiveness　of　the　proposed　method.　©　Copyright;.

关键词：

Analysis hierarchical process; Distributed generation; Particle swarm optimization algorithm; Recloser; Tabu search algorithm

作者机构：

[ 1 ] [Liu, W.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China
[ 2 ] [Liu, W.]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Zhang, H.-Y.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China
[ 4 ] [Shi, J.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China
[ 5 ] [Sun, Y.-G.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China
[ 6 ] [Qu, P.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China

通讯作者信息：

[Liu, W.]College of Electricity Information Engineering, Northeast Petroleum University, Daqing 163318, China

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至