Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration

Equilibrium Optimizer (EO) is a new search algorithm inspired by the balance state of a simple and dynamic mass that is well-mixed on the region of the control volume. In this study, the EO algorithm is applied to the power distribution network reconfiguration (PDNR) for reducing active power loss,...

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Autores principales:	Murat Cikan, Bedri Kekezoglu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Equilibrium Optimizer (EO) Distribution Network Reconfiguration Power Loss Reduction Voltage Profile Enhancement Reliability Index Evaluation Multi-objective Optimization Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/49ebf014119a4b5487c16c026f1e7e8c
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id	oai:doaj.org-article:49ebf014119a4b5487c16c026f1e7e8c
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spelling	oai:doaj.org-article:49ebf014119a4b5487c16c026f1e7e8c2021-11-18T04:45:43ZComparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration1110-016810.1016/j.aej.2021.06.079https://doaj.org/article/49ebf014119a4b5487c16c026f1e7e8c2022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821004336https://doaj.org/toc/1110-0168Equilibrium Optimizer (EO) is a new search algorithm inspired by the balance state of a simple and dynamic mass that is well-mixed on the region of the control volume. In this study, the EO algorithm is applied to the power distribution network reconfiguration (PDNR) for reducing active power loss, enhancing the voltage magnitude, and improving the reliability indices. The main contribution of this study is to provide a broad perspective on solving the reconfiguration problem by statistically comparing popular algorithms in the literature. The other contribution is a new algorithm has been developed for reliability index calculation, and the results are compared with the commercial software Etap. The performance of the EO algorithm has been discussed in four different distribution test systems and compared to ten meta-heuristic search algorithms studied in the literature. According to the statistical results of the analyses, the EO algorithm has provided the best performance in the solution of the reconfiguration problem in terms of several aspects such as having a lower error rate and attempting to reach the global optima successfully more than the other ten algorithms. The standard deviations of EO are calculated as 0, 3, 2.7, and 25.6 for 16-bus, 33-bus, 69-bus, and 118-bus test systems, respectively. To sum up, the proposed algorithm shows a competent, efficient and promising solution in PDNR.Murat CikanBedri KekezogluElsevierarticleEquilibrium Optimizer (EO)Distribution Network ReconfigurationPower Loss ReductionVoltage Profile EnhancementReliability Index EvaluationMulti-objective OptimizationEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 2, Pp 991-1031 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Equilibrium Optimizer (EO) Distribution Network Reconfiguration Power Loss Reduction Voltage Profile Enhancement Reliability Index Evaluation Multi-objective Optimization Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Equilibrium Optimizer (EO) Distribution Network Reconfiguration Power Loss Reduction Voltage Profile Enhancement Reliability Index Evaluation Multi-objective Optimization Engineering (General). Civil engineering (General) TA1-2040 Murat Cikan Bedri Kekezoglu Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
description	Equilibrium Optimizer (EO) is a new search algorithm inspired by the balance state of a simple and dynamic mass that is well-mixed on the region of the control volume. In this study, the EO algorithm is applied to the power distribution network reconfiguration (PDNR) for reducing active power loss, enhancing the voltage magnitude, and improving the reliability indices. The main contribution of this study is to provide a broad perspective on solving the reconfiguration problem by statistically comparing popular algorithms in the literature. The other contribution is a new algorithm has been developed for reliability index calculation, and the results are compared with the commercial software Etap. The performance of the EO algorithm has been discussed in four different distribution test systems and compared to ten meta-heuristic search algorithms studied in the literature. According to the statistical results of the analyses, the EO algorithm has provided the best performance in the solution of the reconfiguration problem in terms of several aspects such as having a lower error rate and attempting to reach the global optima successfully more than the other ten algorithms. The standard deviations of EO are calculated as 0, 3, 2.7, and 25.6 for 16-bus, 33-bus, 69-bus, and 118-bus test systems, respectively. To sum up, the proposed algorithm shows a competent, efficient and promising solution in PDNR.
format	article
author	Murat Cikan Bedri Kekezoglu
author_facet	Murat Cikan Bedri Kekezoglu
author_sort	Murat Cikan
title	Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
title_short	Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
title_full	Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
title_fullStr	Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
title_full_unstemmed	Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration
title_sort	comparison of metaheuristic optimization techniques including equilibrium optimizer algorithm in power distribution network reconfiguration
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/49ebf014119a4b5487c16c026f1e7e8c
work_keys_str_mv	AT muratcikan comparisonofmetaheuristicoptimizationtechniquesincludingequilibriumoptimizeralgorithminpowerdistributionnetworkreconfiguration AT bedrikekezoglu comparisonofmetaheuristicoptimizationtechniquesincludingequilibriumoptimizeralgorithminpowerdistributionnetworkreconfiguration
_version_	1718425037574242304

Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration

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