APPLICATION OF PARTICLE SWARM OPTIMIZATION TO OPTIMAL POWER SYSTEMS

被引：0

作者：

Esmin, Ahmed A. A. ^{[1
]}

Lambert-Torres, Germano ^{[2
]}

机构：

[1] Univ Fed Lavras, Dept Comp Sci, BR-37200000 Lavras, MG, Brazil

[2] Univ Fed Itajuba, Dept Elect Engn, BR-37500503 Itajuba, Brazil

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2012年 / 8卷 / 3A期

关键词：

PSO; Evolutionary algorithm; Optimal power flow; Loss power minimization; VOLTAGE COLLAPSE; DISPATCH;

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：

This paper presents the particle swarm optimization (PSO) algorithm for solving the optimal distribution system reconfiguration problem for power loss minimization. The proposed methodology determines control variable settings, such as the number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a nonlinear optimization problem. The PSO is a relatively new and powerful intelligent evolution algorithm for solving optimization problems. It is a population-based approach. The proposed approach employs the PSO algorithm for the optimal setting of optimal power flow (OPF) based on loss minimization (LM) function. The proposed approach has been examined and tested on standard IEEE 14, IEEE 30 and IEEE 118 bus test systems. The obtained results are compared with those using other techniques in a previous work to evaluate the performance.

引用

页码：1705 / 1716

页数：12

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