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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An implementation of modified scatter search algorithm to transmission expansion planning

Author(s):
Meymand, Majid Zeinaddini [1] ; Rashidinejad, Masoud [1] ; Khorasani, Hamid [2] ; Rahmani, Mohsen [2] ; Mahmoudabadi, Amin [1]
Total Authors: 5
Affiliation:
[1] Sahid Bahonar Univ Kerman, Dept Elect Engn, Kerman - Iran
[2] Univ Estadual Paulista, Fac Engn Ilha Solteira, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Turkish Journal of Electrical Engineering and Computer Sciences; v. 20, n. 1, p. 1206-1219, 2012.
Web of Science Citations: 2
Abstract

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. (AU)

FAPESP's process: 09/14816-7 - Analysis of new mathematical models for the transmission network expansion problem.
Grantee:Mohsen Rahmani
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 10/19032-1 - Specialized tabu search algorithm applied to transmission network expansion planning
Grantee:Hamid Khorasani
Support Opportunities: Scholarships in Brazil - Doctorate