Transmission system expansion planning by an extended genetic algorithm
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Data
1998-05-01
Autores
Gallego, R. A.
Monticelli, A.
Romero, R.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Institute of Electrical and Electronics Engineers (IEEE)
Resumo
The paper presents an extended genetic algorithm for solving the optimal transmission network expansion planning problem. Two main improvements have been introduced in the genetic algorithm: (a) initial population obtained by conventional optimisation based methods; (b) mutation approach inspired in the simulated annealing technique, the proposed method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Excellent performance is reported in the test results section of the paper for a difficult large-scale real-life problem: a substantial reduction in investment costs has been obtained with regard to previous solutions obtained via conventional optimisation methods and simulated annealing algorithms; statistical comparison procedures have been employed in benchmarking different versions of the genetic algorithm and simulated annealing methods.
Descrição
Palavras-chave
genetic algorithm, network static expansion planning, combinatorial optimisation
Como citar
Iee Proceedings-generation Transmission and Distribution. Hertford: IEE-inst Elec Eng, v. 145, n. 3, p. 329-335, 1998.