Stochastic Method and Sensitivity Analysis Assessments for Vehicle-to-Home Integration based on Renewable Energy Sources

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dc.contributor.authorAlsharif, A.
dc.contributor.authorAhmed, A.A.
dc.contributor.authorKhaleel, M.M.
dc.contributor.authorAlarga, A.S.D.
dc.contributor.authorJomah, O.S.M.
dc.contributor.authorAlrashed, A.B.E.
dc.date.accessioned2024-09-29T16:20:46Z
dc.date.available2024-09-29T16:20:46Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.descriptionet al.; Fannak; IEEE; Libyan International Medical Univeristy (LIMU); Open University Libya; University of Benghazien_US
dc.description3rd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023 -- 21 May 2023 through 23 May 2023 -- Benghazi -- 190537en_US
dc.description.abstractElectric Vehicles (EVs) as hotspot research are increasingly being used as alternative energy sources outside of transportation due to global variables like energy usage and environmental concerns. Gridable Electric Vehicle (GEV) is exploiting the opportunity for connecting EVs to the grid. EVs are now capable of contributing to addressing power limitations and acting as a reserve source of energy for the distribution grid in the Electric Vehicle Charging Facility (EVCF) to form Vehicle-to-Home (V2H). This paper is introduced to estimate impacts on the load for the uncertain behavior of EVs under domestic load after being sized using algorithms. Although, the integration of EVs provides an economical and environmental solution with a positive impact, however, it affects the power system when the uncertain number of EVs is provided as heavy duty. Sensitivity analysis has been considered in the study to investigate the expected changes in the system from the affected components. © 2023 IEEE.en_US
dc.identifier.doi10.1109/MI-STA57575.2023.10169210
dc.identifier.endpage787en_US
dc.identifier.isbn979-835031989-7
dc.identifier.scopus2-s2.0-85166304594en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage783en_US
dc.identifier.urihttps://doi.org/10.1109/MI-STA57575.2023.10169210
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9311
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceeding - 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEVen_US
dc.subjectEVCFen_US
dc.subjectGEVen_US
dc.subjectLibyaen_US
dc.subjectREFen_US
dc.subjectV2Xen_US
dc.titleStochastic Method and Sensitivity Analysis Assessments for Vehicle-to-Home Integration based on Renewable Energy Sourcesen_US
dc.typeConference Objecten_US

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