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Prof. mohamed shibl albags :: Publications:

Title:
Social spider algorithm for solving the transmission expansionplanning problem
Authors: M.S. El-bages, W.T. Elsayed∗
Year: 2017
Keywords: DC power flowGeneration reschedulingMetaheuristic techniquesTransmission expansion planningSocial spider algorithma
Journal: Electric Power Systems Research
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: ScienceDirect
Local/International: International
Paper Link:
Full paper mohamed shibl albags_paper5.docx
Supplementary materials Not Available
Abstract:

tIn this paper, an efficient metaheuristic technique is proposed for solving the static transmission expan-sion planning problem. This technique is known as the social spider algorithm. A suitable methodologyfor handling the problem constraints is also proposed. In the proposed methodology, a DC power flowsub-problem is solved for each network resulting from adding a potential solution developed by thesocial spider algorithm to the base network. The proposed algorithm and the accompanying constraintshandling methodology have been tested through solving the transmission expansion planning problemof three benchmark systems having 6-buses, 46 buses, and 87 buses. Excellent performance and newsolutions are demonstrated in the results section. The new solutions achieve a remarkable reduction inthe total investment cost.

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