Optimal Capacitor Placement and Sizing in Radial Distribution System Using Accelerated Particle Swarm Optimization

被引：0

作者：

Basyarach, Niken Adriaty ^{[1
]}

Penangsang, Ontoseno ^{[1
]}

Soeprijanto, Adi ^{[1
]}

机构：

[1] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya, Indonesia

来源：

2017 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA) | 2017年

关键词：

accelerated particle swarm optimization (APSO); capacitor placement; loss sensitivity factors (LSF); radial distribution system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, the problems are how to determine the locations and the size of capacitors in the buses of radial distribution system. The proposed method uses loss sensitivity factors (LSF) to identify the buses requiring compensation and then an accelerated particle swarm optimization (APSO) algorithm is used to determine the sizes of the capacitors to be installed. The proposed method is tested on 84 distribution systems. Absolutely, it is compared with PSO algorithm to find out the performance of convergence. By using proposed method, it could reach 99.79 second computational time. It showed that proposed method has good performance of convergence than PSO algorithm.

引用

页码：93 / 97

页数：5

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