Optimal Sizing of Hybrid Renewable System for Residential Appliances

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dc.contributor.authorAlsharif, A.
dc.contributor.authorAlmabsout, E.
dc.contributor.authorAhmed, A.A.
dc.contributor.authorKhaleel, M.
dc.contributor.authorNassar, Y.F.
dc.contributor.authorEl-Khozoadar, H.J.
dc.date.accessioned2024-09-29T16:20:45Z
dc.date.available2024-09-29T16:20:45Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description4th IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2024 -- 19 May 2024 through 21 May 2024 -- Tripoli -- 201424en_US
dc.description.abstractHybrid Renewable Power Systems (HRPSs) have been extensively employed at regional, national, and different levels due to their capability of decreasing Carbon Dioxide (CO2) emissions and reducing energy consumption amount. However, the main challenge of Renewable Energy Sources (RESs) is the uncertainties of the demand and source integration that may be addressed by nature-inspired metaheuristic algorithms. The optimal operation of a Microgrid (MG) includes Photovoltaic (PV), Wind Turbine (WT), and Battery (BT), as integrated sources for the distributed generation system. This paper proposes the utilization of the Whale Optimization Algorithm (WOA) in order to overcome sizing limitations. The aforesaid optimization algorithm benchmarked with the Antlion Optimization (ALO) algorithm that coupled with a supervisory control algorithm called energy management strategy to meet the objective functions. The main objectives of this study are to obtain a hybrid system with lower cost and lower reliability. The results of the system show better performance on WOA as the main findings in terms of cost (0.01/kWh) and LPSP (0.08%). The aforementioned result contributes a cost-effective system with lower loss, and providing sustainable living which means electricity is available most of the time. © 2024 IEEE.en_US
dc.identifier.doi10.1109/MI-STA61267.2024.10599729
dc.identifier.endpage295en_US
dc.identifier.isbn979-835037263-2
dc.identifier.scopus2-s2.0-85201157399en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage290en_US
dc.identifier.urihttps://doi.org/10.1109/MI-STA61267.2024.10599729
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9308
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2024 - Proceedingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHRPSsen_US
dc.subjectMGsen_US
dc.subjectPVen_US
dc.subjectRESsen_US
dc.subjectWOAen_US
dc.titleOptimal Sizing of Hybrid Renewable System for Residential Appliancesen_US
dc.typeConference Objecten_US

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