Artículos de revistas
A metaheuristic to solve the transmission expansion planning
Date
2007-11-01Registration in:
IEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 22, n. 4, p. 2289-2291, 2007.
0885-8950
10.1109/TPWRS.2007.907592
WOS:000250559200098
Author
Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
Institutions
Abstract
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.