A metaheuristic to solve the transmission expansion planning
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Data
2007-11-01
Autores
Romero, Ruben
Rider, M. J.
Silva, Irenio de J.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Institute of Electrical and Electronics Engineers (IEEE)
Resumo
In this letter, a genetic algorithm (GA) is applied to solve - the static and multistage transmission expansion planning (TEP) problem. The characteristics of the proposed GA to solve the TEP problem are presented. Results using some known systems show that the proposed GA solves a smaller number of linear programming problems in order to find the optimal solutions and obtains a better solution for the multistage TEP problem.
Descrição
Palavras-chave
combinatorial optimization, genetic algorithm, metaheuristics, transmission expansion planning
Como citar
IEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 22, n. 4, p. 2289-2291, 2007.