Publicação:
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

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2-s2.0-84859876910.pdf (1.9 MB)

Data

2012-04-23

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Coorientador

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Artigo

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Acesso abertoAcesso Aberto

Resumo

An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem. Copyright © 2012 Luis A. Gallego et al.

Descrição

Palavras-chave

Comparative analysis, Enhanced genetic algorithms, Higher efficiency, Initial population, Linear programming problem, Multistage transmission, Optimal solutions, Transmission expansion planning, Genetic algorithms, Heuristic algorithms, Linear programming, Problem solving

Idioma

Inglês

Como citar

Journal of Electrical and Computer Engineering.

URI

http://hdl.handle.net/11449/73291

Itens relacionados

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Coleções

Ilha Solteira - FEIS - Faculdade de Engenharia

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