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

Author

Carrano, Eduardo G. ; Soares, Luiz A E ; Takahashi, Ricardo H C ; Saldanha, Rodney R. ; Neto, Oriane M.

Author_Institution

Dept. de Engenharia Eletrica, Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil

Volume

21

Issue

2

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

995

Lastpage

1005

Abstract

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.

Keywords

Pareto analysis; decision making; genetic algorithms; power distribution planning; Pareto optimal solutions; crossover operators; decision making stage; electric distribution network evolution planning; monetary cost index; multiobjective approach; problem-specific genetic algorithm; system failure index; variable encoding scheme; Algorithm design and analysis; Costs; Distributed decision making; Encoding; Energy loss; Genetic algorithms; Genetic mutations; Network topology; Optimization methods; Power engineering and energy; Decision-making; energy distribution networks; genetic algorithms (GAs); multiobjective optimization; network topology optimization;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/TPWRD.2005.858779

Filename

1610717