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dc.contributor.authorTamilarasu, Karthick
dc.contributor.authorSathiasamuel, Charles Raja
dc.contributor.authorNesamalar Josep, Jeslin Drusila
dc.contributor.authorElavarasan, Rajvikram Madurai
dc.contributor.authorMihet-Popa, Lucian
dc.date.accessioned2021-06-08T11:39:08Z
dc.date.available2021-06-08T11:39:08Z
dc.date.created2021-05-11T18:36:55Z
dc.date.issued2021
dc.identifier.citationEnergies. 2021, 14 (10), Artikkel 2855.en_US
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11250/2758499
dc.description.abstractSoaring energy demand and the establishment of various trends in the energy market have paved the way for developing demand-side management (DSM) from the consumer side. This paper proposes a reinforced DSM (RDSM) approach that uses an enhanced binary gray wolf optimization algorithm (EBGWO) that benefits the consumer premises with load scheduling, and peak demand reduction. To date, DSM research has been carried out for residential, commercial and industrial loads, whereas DSM approaches for educational loads have been less studied. The institution load also consumes much utility energy during peak hours, making institutional consumers pay a high amount of cost for energy consumption during peak hours. The proposed objective is to reduce the total electricity cost and to improve the operating efficiency of the entire load profile at an educational institution. The proposed architecture integrates the solar PV (SPV) generation that supplies the user-comfort loads during peak operating hours. User comfort is determined with a metric termed the user comfort index (UCI). The novelty of the proposed work is highlighted by modeling a separate class of loads for temperature-controlled air conditioners (AC), supplying the user comfort loads from SPV generation and determining user comfort with percentage UCI. The improved transfer function used in the proposed EBGWO algorithm performs faster in optimizing nonlinear objective problems. The electricity price in the peak hours is high compared to the offpeak hours. The proposed EBGWO algorithm shift and schedules the loads from the peak hours to off-peak hours, and incorporating SPV in satisfying the user comfort loads aids in reducing the power consumption from the utility during peak hours. Thus, the proposed EBGWO algorithm greatly helps the consumer side decrease the peak-to-average ratio (PAR), improve user comfort significantly, reduce the peak demand, and save the institution’s electricity cost by USD 653.046.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.urifile:///C:/Users/nlm/OneDrive/Conferences/Energies/Final_version/energies-14-02855.pdf
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectsmart griden_US
dc.subjectinstitutional loadsen_US
dc.subjectreinforced demand-side managementen_US
dc.subjectload-shiftingen_US
dc.subjectuser comfort indexen_US
dc.subjectenhanced binary gray wolf optimizationen_US
dc.titleReinforced Demand Side Management for Educational Institution with incorporation of User’s Comforten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 by the authors.en_US
dc.subject.nsiVDP::Teknologi: 500::Elektrotekniske fag: 540en_US
dc.source.volume14en_US
dc.source.journalEnergiesen_US
dc.source.issue10en_US
dc.identifier.doihttps://doi.org/10.3390/en14102855
dc.identifier.cristin1909530
dc.source.articlenumber2855en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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