OPTIMIZATION METHOD FOR REACTIVE POWER PLANNING BY USING A MODIFIED SIMPLE GENETIC ALGORITHM

被引：127

作者：

LEE, KY ^{[1
]}

BAI, XM ^{[1
]}

PARK, YM ^{[1
]}

机构：

[1] SEOUL NATL UNIV,DEPT ELECT ENGN,SEOUL 152742,SOUTH KOREA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1995年 / 10卷 / 04期

基金：

美国国家科学基金会;

关键词：

REACTIVE POWER PLANNING; OPTIMIZATION; BENDERS DECOMPOSITION; SIMPLE GENETIC METHOD;

D O I：

10.1109/59.476049

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an improved simple genetic algorithm developed for reactive power system planning. The successive linear programming (LP) is used to solve operational optimization sub-problems. New population selection and generation method which makes the use of Benders' cut is presented in this paper. It is desirable to find the optimal solution in few iterations, especially in some test cases where the optimal results are expected to be obtained easily. However, the simple genetic algorithm has failed in finding the solution except through an extensive number of iterations. Different population generation and crossover methods are also tested and discussed. The method has been tested for 6 bus and 30 bus systems to show its effectiveness. Further improvement for the method is also discussed.

引用

页码：1843 / 1850

页数：8

共 23 条

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