Energy management and optimization of microgrid system using particle swarm optimization algorithm

dc.contributor.authorElweddad, M.
dc.contributor.authorGuneser, M.T.
dc.contributor.authorYusupov, Z.
dc.date.accessioned2024-09-29T16:21:04Z
dc.date.available2024-09-29T16:21:04Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description2nd International Conference on Energetics, Civil and Agricultural Engineering 2021, ICECAE 2021 -- 14 October 2021 through 16 October 2021 -- Tashkent -- 184935en_US
dc.description.abstractAn optimization model is proposed to manage a day-ahead optimal energy management strategy for economic operation of Microgrids. The model is based on a using particle swarm optimization algorithm (PSO) for scheduling four energy sources (grid, PV system, wind system, energy storage system) with 24 hours' time step, considering forecasted electrical demands, weather, and renewable energy generations. In this paper, the objective function is to minimize the cost of electricity generation and to manage delivering power from hybrid sources to the demand. The results showed that scheduling and controlling of different energy sources in efficient way reduce the total cost of power generation and ensure sustainable power flow. It is important to enhance the usage of solar and wind sources, optimize the operation of storage systems. © 2022 Author(s).en_US
dc.identifier.doi10.1063/5.0113501
dc.identifier.isbn978-073544278-8
dc.identifier.issn0094-243X
dc.identifier.scopus2-s2.0-85144290398en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1063/5.0113501
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9532
dc.identifier.volume2686en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmerican Institute of Physics Inc.en_US
dc.relation.ispartofAIP Conference Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEnergy management and optimization of microgrid system using particle swarm optimization algorithmen_US
dc.typeConference Objecten_US

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