A metaheuristic to solve the transmission expansion planning

Artículos de revistas

Fecha

2007-11-01

Registro en:

IEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 22, n. 4, p. 2289-2291, 2007.

0885-8950

http://hdl.handle.net/11449/31230

10.1109/TPWRS.2007.907592

WOS:000250559200098

Autor

Universidade Estadual Paulista (Unesp)

Universidade Estadual de Campinas (UNICAMP)

Institución

Universidade Estadual Paulista (Brasil)

Resumen

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.

Materias

combinatorial optimization

genetic algorithm

metaheuristics

transmission expansion planning

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