Multi-objective Locating and Sizing Optimization of Distributed Generation

被引：0
|
作者：
Dai, Wei [1 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
来源：
2013 12TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC 2013) | 2013年
关键词：
particle swarm optimization; principal component analysis; distributed generation; optimization;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper proposes a method to realize better locating and sizing optimization of distributed generation. It combines the advantages of improved particle swarm optimization algorithm and principal component analysis technology. Based on artificial bee colony algorithm, it proposes the improvement about traditional particle swarm optimization algorithm to improve the convergence. Meanwhile, by means of using principal component analysis, it builds comprehensive model including several economy index, voltage stability index and constrained condition for comprehensive evaluation of multi-objective optimization to enhance credibility of the method proposed.
引用
收藏
页码：118 / 123
页数：6
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