Locating and Sizing of Distributed Generation Sources and Parallel Capacitors Using Multiple Objective Particle Swarm Optimization Algorithm

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dc.authorscopusid26423041400
dc.authorscopusid7006370499
dc.authorscopusid55062117500
dc.contributor.authorKamarposhti, Mehrdad Ahmadi
dc.contributor.authorLorenzini, Giulio
dc.contributor.authorSolyman, Ahmed Amin Ahmed
dc.date.accessioned2024-09-11T19:58:31Z
dc.date.available2024-09-11T19:58:31Z
dc.date.issued2021
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractIn this paper, the MOPSO algorithm has been used to locate and determine the capacity of distributed generation sources and capacitor banks in the distribution system. The intended objective function is a combination of different objective functions. The first goal is to reduce losses, and the second goal is to improve the voltage profile and the third goal is to reduce costs, which has been used by placing weight coefficients in the form of an objective function in the algorithms. For this purpose, the standard 33-bus system has been used to conduct studies. Studies have been repeated in three scenarios. In the first scenario, the locating and determination of the capacity of active and reactive resources has been accomplished with the approach of reducing losses and improving the voltage profile. However, in the second scenario, the locating and determining the capacity of these resources has been accomplished with loss and cost reduction approach and it was considered as constraint in voltage profile. In the third scenario, the simultaneous reduction of all three objective functions has been performed simultaneously. To validate the results obtained by the MOPSO algorithm, its results were compared with genetic and particle swarm algorithms. The results indicate better and more accurate performance of MOPSO algorithm in minimizing objective functions relative to other two algorithms. © 2021, Mathematical Modelling of Engineering Problems.All Rights Reserved.en_US
dc.identifier.doi10.18280/mmep.080102
dc.identifier.endpage24en_US
dc.identifier.issn2369-0739en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85104694986en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage10en_US
dc.identifier.urihttps://doi.org/10.18280/mmep.080102
dc.identifier.urihttps://hdl.handle.net/11363/8509
dc.identifier.volume8en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Information and Engineering Technology Associationen_US
dc.relation.ispartofMathematical Modelling of Engineering Problemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240903_Gen_US
dc.subjectdistributed generation; loss reduction; MOPSO algorithm; parallel capacitors; voltage profileen_US
dc.titleLocating and Sizing of Distributed Generation Sources and Parallel Capacitors Using Multiple Objective Particle Swarm Optimization Algorithmen_US
dc.typeArticleen_US

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