A hybrid local search-genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems

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dc.contributor.authorAlmabsout, Emad Ali
dc.contributor.authorEl-Sehiemy, Ragab A.
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2021-05-15T11:34:03Z
dc.date.available2021-05-15T11:34:03Z
dc.date.issued2020
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.descriptionEl-Sehiemy, Professor/ Ragab A./0000-0002-3340-4031
dc.description.abstractControlling active/reactive power in distribution systems has a great impact on its performance. The placement of distributed generators (DGs) and shunt capacitors (SCs) are the most popular mechanisms to improve the distribution system performance. In this line, this paper proposes an enhanced genetic algorithm (EGA) that combines the merits of genetic algorithm and local search to find the optimal placement and capacity of the simultaneous allocation of DGs/SCs in the radial systems. Incorporating local search scheme enhances the search space capability and increases the exploration rate for finding the global solution. The proposed procedure aims at minimizing both total real power losses and the total voltage deviation in order to enhance the distribution system performance. To prove the proposed algorithm ability and scalability, three standard test systems, IEEE 33 bus, 69 bus, and 119-bus test distribution networks, are considered. The simulation results show that the proposed EGA can efficiently search for the optimal solutions of the problem and outperforms the other existing algorithms in the literature. Moreover, an economic based cost analysis is provided for light, shoulder and heavy loading levels. It was proven, the proposed EGA leads to significant improvements in the technical and economic points of view.en_US
dc.description.sponsorshipMinistry of Higher Education and Scientific Research of Libyaen_US
dc.description.sponsorshipThis work was supported by the Ministry of Higher Education and Scientific Research of Libya within the framework of scholarships provided by the Ministry.en_US
dc.identifier.doi10.1109/ACCESS.2020.2981406
dc.identifier.endpage54481en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85082621782
dc.identifier.scopusqualityQ1
dc.identifier.startpage54465en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2020.2981406
dc.identifier.urihttps://hdl.handle.net/20.500.12939/272
dc.identifier.volume8en_US
dc.identifier.wosWOS:000524749800007
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorAlmabsout, Emad Ali
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDistributed Generators (DGs)en_US
dc.subjectShunt Capacitors (SCs)en_US
dc.subjectDistribution System Performanceen_US
dc.subjectEnhanced Genetic Algorithm (EGA)en_US
dc.titleA hybrid local search-genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems
dc.typeArticle

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