Grey wolf optimized economic load dispatch including battery storage in microgrid

dc.contributor.authorAljrıbı, Salem Faraj
dc.contributor.authorYusupov, Ziyodulla
dc.date.accessioned2024-09-29T16:29:35Z
dc.date.available2024-09-29T16:29:35Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn last decades, grey wolf optimizer algorithm as a new meta-heuristic optimization technique plays major role in optimization of engineering problems such as load forecasting, controller parameter tuning and job scheduling. In this paper, grey wolf optimization (GWO) is used to optimize the microgrid system for effective dispatching of power to load with economic manner. The model of microgrid system components are developed and investigated in the MATLAB/Simulink platform. The vital objective of the proposed grey wolf algorithm is to minimize overall cost of the microgrid operation. The detailed investigation is carried out on power dispatch optimization and cost minimization for both modes, i.e. island and grid-connected modes of the microgrid system with considering the impact of running costs. From the analysis, the cost of the overall system is optimized effectively, and load sharing is done effectively by means of GWO.en_US
dc.identifier.doi10.2339/politeknik.886712
dc.identifier.endpage33en_US
dc.identifier.issn1302-0900
dc.identifier.issue1en_US
dc.identifier.startpage27en_US
dc.identifier.trdizinid1227703en_US
dc.identifier.urihttps://doi.org/10.2339/politeknik.886712
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1227703
dc.identifier.urihttps://hdl.handle.net/20.500.14619/10637
dc.identifier.volume27en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofPoliteknik Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleGrey wolf optimized economic load dispatch including battery storage in microgriden_US
dc.typeArticleen_US

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