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Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm

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dc.citedby8
dc.contributor.authorTahmasebi M.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorMohamadian F.en_US
dc.contributor.authorShakeri M.en_US
dc.contributor.authorGuerrero J.M.en_US
dc.contributor.authorBasir Khan M.R.en_US
dc.contributor.authorNazir M.S.en_US
dc.contributor.authorSafari A.en_US
dc.contributor.authorBazmohammadi N.en_US
dc.contributor.authorid55945605900en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid57506909200en_US
dc.contributor.authorid55433849200en_US
dc.contributor.authorid35588010400en_US
dc.contributor.authorid55812128900en_US
dc.contributor.authorid55206618300en_US
dc.contributor.authorid55921938000en_US
dc.contributor.authorid55364701400en_US
dc.date.accessioned2023-05-29T09:06:52Z
dc.date.available2023-05-29T09:06:52Z
dc.date.issued2021
dc.descriptionalgorithm; alternative energy; emission; energy management; genetic algorithm; optimizationen_US
dc.description.abstractMicrogrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions. � 2021 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7710
dc.identifier.doi10.3390/su13147710
dc.identifier.issue14
dc.identifier.scopus2-s2.0-85111171963
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85111171963&doi=10.3390%2fsu13147710&partnerID=40&md5=4c2c5c2a12958c409e4cc778ce8f5313
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26106
dc.identifier.volume13
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleSustainability (Switzerland)
dc.titleOptimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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