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

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 opt...

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Vydané v:Engineering and Applied Science Research (EASR) Ročník 46; číslo 4; s. 292 - 302
Hlavní autori: Kothuri Ramakrishna, Basavaraja Banakara
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Khon Kaen University 01.12.2019
Predmet:
feeder reconfiguration
gsa
power loss
tabu search
voltage deviation
ISSN:2539-6161, 2539-6218
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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.
AbstractList 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.
Author Kothuri Ramakrishna
Basavaraja Banakara
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Snippet In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical...
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SubjectTerms feeder reconfiguration
gsa
power loss
tabu search
voltage deviation
Title A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system
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