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Optimal design of EV aggregator for real-time peak load shaving and valley filling

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dc.citedby3
dc.contributor.authorSolanke T.U.en_US
dc.contributor.authorKhatua P.K.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorYong J.Y.en_US
dc.contributor.authorKanesan J.en_US
dc.contributor.authorTariq M.en_US
dc.contributor.authorKasinathan P.en_US
dc.contributor.authorid57213002468en_US
dc.contributor.authorid57211987923en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid56119339200en_US
dc.contributor.authorid26434800000en_US
dc.contributor.authorid57220656842en_US
dc.contributor.authorid57194393495en_US
dc.date.accessioned2023-05-29T08:06:39Z
dc.date.available2023-05-29T08:06:39Z
dc.date.issued2020
dc.descriptionBattery management systems; Dynamic loads; Energy management systems; Genetic algorithms; Landforms; Optimal systems; Power electronics; Deterministic optimization; Fluctuating loads; Grid-connected; Matlab Simulink models; Optimal design; Optimization algorithms; Real-time application; State of charge; Electric power transmission networksen_US
dc.description.abstractNowadays, extensive Electric Vehicle (EV) aggregator research has been carried out to design smart charging-discharging and scheduling of EVs. The EV aggregator plays a vital role to coordinate the energy management in between power grid and the EVs. This paper presents the optimal design of an EV aggregator in real-time for peak load shaving and valley filling. In practice, uncoordinated charging-discharging of grid-connected EVs may create serious issues to the power grid by introducing new peak demand and fluctuating load profile. In order to overcome the above issue, the EV aggregator's energy management system was optimized using Genetic Algorithm (GA) with constraints such as power balance and State-of-Charge (SOC). Furthermore, 24 hours dynamic load profile was considered in the optimization algorithm to manage the real-time power demand at each time instance. The deterministic optimization technique was tested in MATLAB-SIMULINK model for real-time application. The results showed that the proposed optimization algorithm can effectively reduce the peaks and fill valleys in compliance with various constraints in real-time. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9379637
dc.identifier.doi10.1109/PEDES49360.2020.9379637
dc.identifier.scopus2-s2.0-85103878230
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85103878230&doi=10.1109%2fPEDES49360.2020.9379637&partnerID=40&md5=ae4b6a6a00c7ccf2b613ca7c75bf0ea2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25069
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
dc.titleOptimal design of EV aggregator for real-time peak load shaving and valley fillingen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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