A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system

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Published: Dec 12, 2019
Keywords:
GSA Tabu search DG Power loss Voltage deviation Feeder reconfiguration

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Kothuri Ramakrishna
Department of Electrical and Electronics Engineering, B.V. Raju Institution of Technology, Narsapur, Telangana 502313, India
Basavaraja Banakara
Department of Electrical and Electronics Engineering, University of B.D.T. College of Engineering, Davanagere, Karnataka 577004, India

Abstract

In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The optimal sizing of a distributed generator (DG) includes the best location with reduced electrical losses. The Gravitational Search Algorithm (GSA) hastens convergence with integration of a Tabu search heuristic. Then, the proposed multi-objective hybrid algorithm for planning an electrical distribution system is implemented on a MATLAB/Simulink platform. Its effectiveness is scrutinized by contrasting the results of the method under study with those of existing techniques such as ALO, LSA, CALMS and BBO-PSO. This comparison reveals the superiority of the proposed approach and affirms its potential to reduce power losses and voltage deviations.

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How to Cite
Ramakrishna, K., & Banakara, B. (2019). A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system. Engineering and Applied Science Research, 46(4), 292–302. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/182402
Issue
Vol. 46 No. 4 (2019)
Section
ORIGINAL RESEARCH

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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