Maximizing EV profit and grid stability through Virtual Power Plant considering V2G

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dc.authoridHayes, Barry/0000-0001-5171-9056
dc.authoridCICEK, ALPER/0000-0003-4540-2276
dc.authorwosidTurkoglu, Selim/HTN-7378-2023
dc.contributor.authorTuerkoglu, A. Selim
dc.contributor.authorGuldorum, H. Cihan
dc.contributor.authorSengor, Ibrahim
dc.contributor.authorCicek, Alper
dc.contributor.authorErdinc, Ozan
dc.contributor.authorHayes, Barry P.
dc.date.accessioned2024-06-12T11:00:10Z
dc.date.available2024-06-12T11:00:10Z
dc.date.issued2024
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe electrification of transportation through the widespread adoption of electric vehicles (EVs) has raised substantial concerns within the realm of power grid operations. This concern predominantly stems from the elevated electricity demand brought about by the surging population of EVs, consequently exerting strain on the power grid infrastructure which can be reduced with vehicle-to-grid (V2G) technology integration. To address this issue, this paper delves further into the realm of grid integration by introducing a Virtual Power Plant (VPP) concept to enhance the synergy between EVs and power grid. This study aims to compare different realistic objectives, ranging from total active power loss and voltage drop minimization to EV profit maximization and then optimize the balance between the distribution grid power quality and VPP profit through bi-level modeling. The presented model is devised as mixed-integer quadratically constrained programming (MIQCP) and incorporates Temporal Convolutional Network (TCN) based forecasting to handle the uncertain behavior of the residential loads using historical data. The experiments are conducted in IEEE 33 -Bus and real -world 240 -Bus distribution networks. The results indicate that enabling bidirectional power flow between the grid and VPP can yield significant profits for EV users while only marginally impacting the active power loss, approximately around 5%. This validation underscores how V2G not only presents various advantages for power system operators but also benefits EV users simultaneously.en_US
dc.identifier.doi10.1016/j.egyr.2024.03.013
dc.identifier.endpage3520en_US
dc.identifier.issn2352-4847
dc.identifier.scopus2-s2.0-85187958386en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage3509en_US
dc.identifier.urihttps://doi.org/10.1016/j.egyr.2024.03.013
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20730
dc.identifier.volume11en_US
dc.identifier.wosWOS:001228306800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectric Vehicleen_US
dc.subjectOptimal Power Flowen_US
dc.subjectVehicle-To-Griden_US
dc.subjectVirtual Power Planten_US
dc.subjectIn Electric Vehicleen_US
dc.subjectManagementen_US
dc.subjectSupporten_US
dc.subjectAlgorithmen_US
dc.subjectSystemen_US
dc.titleMaximizing EV profit and grid stability through Virtual Power Plant considering V2Gen_US
dc.typeArticleen_US

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