A Strategy to Solve the Multistage Transmission Expansion Planning Problem


Autoria(s): Vinasco, Guillermo; Rider, Marcos J.; Romero, Ruben
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/11/2011

Resumo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

In this letter, a heuristic to reduce the combinatorial search space (CSS) of the multistage transmission expansion planning (MTEP) problem is presented. The aim is to solve the MTEP modeled like a mixed binary linear programming (MBLP) problem using a commercial solver with a low computational time. The heuristic uses the solution of several static transmission expansion planning problems to obtain the reduced CSS. Results using some test and real systems show that the use of the reduced CSS solves the MTEP problem with better solutions compared to other strategies in the literature.

Formato

2574-2576

Identificador

http://dx.doi.org/10.1109/TPWRS.2011.2126291

IEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 26, n. 4, p. 2574-2576, 2011.

0885-8950

http://hdl.handle.net/11449/9826

10.1109/TPWRS.2011.2126291

WOS:000298784500089

Idioma(s)

eng

Publicador

Institute of Electrical and Electronics Engineers (IEEE)

Relação

IEEE Transactions on Power Systems

Direitos

closedAccess

Palavras-Chave #Combinatorial optimization #mixed binary linear programming problem #multistage transmission expansion planning
Tipo

info:eu-repo/semantics/article