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dc.contributor.authorAktar, Abdullah Kürşat
dc.contributor.authorTaşcıkaraoğlu, Akın
dc.contributor.authorGürleyük, Sırrı Sunay
dc.contributor.authorCatalão, João P.S
dc.date.accessioned2023-01-17T09:47:19Z
dc.date.available2023-01-17T09:47:19Z
dc.date.issued2023en_US
dc.identifier.citationAktar, A. K., A. Taşcıkaraoğlu, S. S. Gürleyük, and J. P. S. Catalão. 2023. "A Framework for Dispatching of an Electric Vehicle Fleet using Vehicle-to-Grid Technology." Sustainable Energy, Grids and Networks 33. doi:10.1016/j.segan.2022.100991en_US
dc.identifier.issn23524677
dc.identifier.urihttps://doi.org/10.1016/j.segan.2022.100991
dc.identifier.urihttps://hdl.handle.net/20.500.12809/10490
dc.description.abstractFuture planning of the energy supply and transportation should be taken into consideration simultaneously. The cooperation of related stakeholders, especially institutions, distribution companies and new technology developers is of great importance in terms of foreseeing and preventing the problems to be encountered and of benefiting together. As it becomes more challenging to maintain the balance between energy supply and demand in electric power systems due to the stochasticity of both load demands and renewable power generation, Electric Vehicle (EV) batteries can play a critical role in supporting this balance for a given period. In this study, an optimization algorithm based on mixed integer linear programming is used to evaluate the economic and technical benefits of EVs when they are used as mobile energy storage systems by system operators, which is called the concept of “Vehicle for Grid” (VfG). It is particularly aimed to alleviate the load demand on grid during the peak energy periods. The results obtained for two types of EVs with different characteristics show that the economic and operational benefits can be maximized when the optimum number and specification of EVs to be integrated into the system are determined. In the best-case scenario in which 15 EVs each with a capacity of 200 kWh are used, the peak-to-average power ratio of the load curve decreases by 6.56%en_US
dc.item-language.isoengen_US
dc.publisherElsevier Ltden_US
dc.relation.isversionof10.1016/j.segan.2022.100991en_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectric vehicleen_US
dc.subjectFleet managementen_US
dc.subjectMobile energy storageen_US
dc.subjectPeak shavingen_US
dc.subjectVehicle for griden_US
dc.titleA framework for dispatching of an electric vehicle fleet using vehicle-to-grid technologyen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0003-3185-452Xen_US
dc.contributor.authorID0000-0001-8696-6516en_US
dc.contributor.authorID0000-0003-4375-6767en_US
dc.contributor.institutionauthorAktar, Abdullah Kürşat
dc.contributor.institutionauthorTaşcıkaraoğlu, Akın
dc.contributor.institutionauthorGürleyük, Sırrı Sunay
dc.identifier.volume33en_US
dc.relation.journalSustainable Energy, Grids and Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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