Title: Electric Distribution Network Multiobjective Design Using a Problem-Specific Genetic Algorithm
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.
Publication Year: 2006
Publication Date: 2006-04-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 170
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot