Two dimensional particle swarm optimization algorithm for load flow analysis

被引：2

作者：

Mehfuz, Shabana ^{[1
]}

Kumar, Sumit ^{[1
]}

机构：

[1] Jamia Millia Islamia, Dept Elect Engn, New Delhi 110025, India

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2014年 / 7卷 / 06期

关键词：

Particle swarm optimization; power flows; distribution system; load flow analysis; POWER;

D O I：

10.1080/18756891.2014.963973

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques. Particle swarm optimization (PSO) is a type of swarm intelligence that is based on social-psychological principles and provides insights into social behavior, as well as contributes to engineering applications. This algorithm optimizes the power flows on different branches of network using the particles memory based algorithm. The feasibility of the concept has been proved by performing simulations in ETAP environment.

引用

页码：1074 / 1082

页数：9

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