An implementation of modified scatter search algorithm to transmission expansion planning


Autoria(s): Meymand, Majid Zeinaddini; Rashidinejad, Masoud; Khorasani, Hamid; Rahmani, Mohsen; Mahmoudabadi, Amin
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/01/2012

Resumo

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

Processo FAPESP: 09/14816-7

Processo FAPESP: 10/19032-1

Transmission network expansion planning (TNEP) is one of the most important tasks in the field of power systems, especially in deregulated power system environments. TNEP is a nonlinear mixed integer programming problem that can be solved via hybrid heuristic algorithms. This paper presents a modified scatter search algorithm (MSSA) to reinforce the ordinary scatter search algorithm (SSA) to be equipped for handling large scale transmission expansion planning (TEP) problems. The proposed methodology is based on the SSA, incorporating some improved strategies so as to decrease the number of linear programming problems required to be solved iteratively. In this study, it is shown that the MSSA can handle TEP problems faster than the ordinary SSA, as well as other implemented algorithms. Case studies and simulation results show the significant performance of the proposed method in comparison with some studies addressed in common literature.

Formato

1206-1219

Identificador

http://dx.doi.org/10.3906/elk-1104-10

Turkish Journal of Electrical Engineering and Computer Sciences. Ankara: Tubitak Scientific & Technical Research Council Turkey, v. 20, p. 1206-1219, 2012.

1300-0632

http://hdl.handle.net/11449/42670

10.3906/elk-1104-10

WOS:000312424100013

WOS000312424100013.pdf

Idioma(s)

eng

Publicador

Tubitak Scientific & Technical Research Council Turkey

Relação

Turkish Journal of Electrical Engineering and Computer Sciences

Direitos

openAccess

Palavras-Chave #Transmission network expansion planning #scatter search algorithm #VGS algorithm #metaheuristic algorithm
Tipo

info:eu-repo/semantics/article