Optimal Energy Management of Power Grid with Electric Vehicles and Flexible Loads

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dc.authorscopusid57550278400en_US
dc.authorscopusid14631882700en_US
dc.contributor.authorAygun, A.I.
dc.contributor.authorKamalasadan, S.
dc.date.accessioned2024-08-23T16:07:33Z
dc.date.available2024-08-23T16:07:33Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.descriptionCentre for Development of Advanced Computing (C-DAC); et al.; Kerala Development and Innovation Strategic Council (K-DISC); MathWorks; OPAL-RT Technologies; RTDS Technologiesen_US
dc.description2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023 -- 17 December 2023 through 20 December 2023 -- Trivandrum -- 196985en_US
dc.description.abstractThis work introduces a convex optimization for the management of demand response and home appliances using electric vehicles during a power outage. The algorithm manages the power distribution based on vehicle availability and ensures complete demand during a power outage or supply shortage. In addition, the paper demonstrates an algorithm that reduces peak demand by controlling home devices without violating consumer comfort. Various household appliances, such as air conditioner (AC), water heater (WH), clothes dryer (CD), and dish washer (DW) are developed to achieve more precise results. This algorithm's primary objective is not only to minimize or distribute power consumption but also to move it to a better pricing period based on the flexibility rate. The results demonstrate that with the proposed control architecture the total load are more balanced (more than 40%) when compared to without the control and the usable temperature can be controlled more effectively. © 2023 IEEE.en_US
dc.identifier.doi10.1109/PESGRE58662.2023.10404229
dc.identifier.isbn979-835031057-3en_US
dc.identifier.scopus2-s2.0-85185796562en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/PESGRE58662.2023.10404229
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14721
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdemand response (DR)en_US
dc.subjecteconomic dispatchen_US
dc.subjectElectric vehicles (EVs)en_US
dc.subjectload dispatchen_US
dc.subjectload priorityen_US
dc.subjectAir conditioningen_US
dc.subjectConvex optimizationen_US
dc.subjectElectric load dispatchingen_US
dc.subjectElectric load sheddingen_US
dc.subjectElectric power plant loadsen_US
dc.subjectElectric power system economicsen_US
dc.subjectElectric vehiclesen_US
dc.subjectOutagesen_US
dc.subjectDemand responseen_US
dc.subjectEconomic Dispatchen_US
dc.subjectElectric vehicleen_US
dc.subjectLoad dispatchen_US
dc.subjectLoad priorityen_US
dc.subjectOptimal energyen_US
dc.subjectPower gridsen_US
dc.subjectPower outageen_US
dc.subjectVehicle loaden_US
dc.subjectDomestic appliancesen_US
dc.titleOptimal Energy Management of Power Grid with Electric Vehicles and Flexible Loadsen_US
dc.typeConference Objecten_US

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