Multi-Objective Optimization Method for Proper Configuration of Grid-Connected PV-Wind Hybrid System in Terms of Ecological Effects, Outlay, and Reliability

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dc.authoridAli, Ali Elnaeim Elbasheir/0000-0002-3939-6984
dc.authoridGUNESER, Muhammet Tahir/0000-0003-3502-2034
dc.contributor.authorElbaz, Abdurazaq
dc.contributor.authorGuneser, Muhammet Tahir
dc.date.accessioned2024-09-29T15:54:53Z
dc.date.available2024-09-29T15:54:53Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe assessment of the performance of grid hybrid frameworks depends primarily on the costs and reliability, associated with reduced greenhouse gas (GHG) emissions of the system. In this work, with objectives based on the minimization of two optimization features, namely loss of power supply probability (LPSP) and cost of energy (COE), multi-objective optimization of a grid-connected PV/wind turbine framework was implemented in the Faculty of Engineering in Gharyan, Libya, with the aim of providing adequate electricity, while optimizing the system's renewable energy fraction (REF) was the third objective. This research also aimed to estimate the resulting amount of power produced by the hybrid system and mathematical models were submitted. The results showed the share of the total energy supplying the electricity demand for each part of the network. This study subsequently explored the interrelationship of the grid and the proposed hybrid system in relation to the capacity of the network to sell or obtain electricity from the hybrid system. In addition, multi-objective bat algorithm (MOBA) findings were divided into three dominant regions: the first region was the economically optimal solution (lowest COE), the second region was the conceptual perspective of utilizing renewable energies (highest REF), and the final region was the optimal solution with optimal environmental effects (lowest GHG emissions).en_US
dc.identifier.doi10.1007/s42835-020-00635-y
dc.identifier.endpage782en_US
dc.identifier.issn1975-0102
dc.identifier.issn2093-7423
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85099106854en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage771en_US
dc.identifier.urihttps://doi.org/10.1007/s42835-020-00635-y
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4330
dc.identifier.volume16en_US
dc.identifier.wosWOS:000605937900005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Singapore Pte Ltden_US
dc.relation.ispartofJournal of Electrical Engineering & Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGHG emissionen_US
dc.subjectCost of energyen_US
dc.subjectRenewable energy fractionen_US
dc.subjectMulti-objectiveen_US
dc.subjectGrid-connecteden_US
dc.subjectPVen_US
dc.titleMulti-Objective Optimization Method for Proper Configuration of Grid-Connected PV-Wind Hybrid System in Terms of Ecological Effects, Outlay, and Reliabilityen_US
dc.typeArticleen_US

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