Refined genetic algorithm for minimum-loss reconfiguration of electrical distribution network

被引：0

作者：

Zhu, JZ ^{[1
]}

Chang, CS ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore

来源：

PROCEEDINGS OF EMPD '98 - 1998 INTERNATIONAL CONFERENCE ON ENERGY MANAGEMENT AND POWER DELIVERY, VOLS 1 AND 2 AND SUPPLEMENT | 1998年

关键词：

artificial intelligence; genetic algorithms; distribution systems; network reconfiguration; optimization;

D O I：

暂无

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 proposes a model of distribution network reconfiguration (DNRC) to minimize the system power loss. A refined genetic algorithm (GA) is set up, in which some improvements are made on chromosome coding, fitness function and mutation pattern. As a result, premature convergence is avoided. The proposed approach is tested on 16 bus and 33-bus distribution networks. Study results are given in the paper.

引用

页码：485 / 487

页数：3