Electric distribution network multiobjective design using a problem-specific genetic algorithm

被引：121

作者：

Carrano, EG ^{[1
]}

Soares, LAE

Takahashi, RHC

Saldanha, RR

Neto, OM

机构：

[1] Univ Fed Minas Gerais, Dept Engn Eletr, BR-30123970 Belo Horizonte, MG, Brazil

[2] Strike Engn & Consultoria, BR-30123970 Belo Horizonte, MG, Brazil

[3] Univ Fed Minas Gerais, Dept Matemat, BR-30123970 Belo Horizonte, MG, Brazil

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2006年 / 21卷 / 02期

关键词：

decision-making; energy distribution networks; genetic algorithms (GAs); multiobjective optimization; network topology optimization;

D O I：

10.1109/TPWRD.2005.858779

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 a multiobjective approach for the design of electrical distribution networks. The objectives are defined as a monetary cost index (including installation cost and energy losses cost) and a system failure index. The true Pareto-optimal solutions are found with a multiobjective genetic algorithm that employs an efficient variable encoding scheme and some problem-specific mutation and crossover operators. Results based on 21- and 100-bus systems are presented. The information gained from the Pareto-optimal solution set is shown to be useful for the decision-making stage of distribution network evolution planning.

引用

页码：995 / 1005

页数：11

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