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Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer

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dc.citedby0
dc.contributor.authorJouma H.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorAbd Rahman M.S.en_US
dc.contributor.authorJia Ying Y.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorid58994543000en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid36609854400en_US
dc.contributor.authorid56119339200en_US
dc.contributor.authorid8136874200en_US
dc.date.accessioned2025-03-03T07:47:19Z
dc.date.available2025-03-03T07:47:19Z
dc.date.issued2024
dc.description.abstractPurpose: This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses. Design/methodology/approach: The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid. Findings: The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was ?26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was ?25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh). Originality/value: As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management. ? 2024, Emerald Publishing Limited.en_US
dc.description.natureArticle in pressen_US
dc.identifier.doi10.1108/SASBE-01-2024-0008
dc.identifier.scopus2-s2.0-85190857783
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85190857783&doi=10.1108%2fSASBE-01-2024-0008&partnerID=40&md5=2779bc7e0f5dd16ce33fda9b76a91642
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37084
dc.publisherEmerald Publishingen_US
dc.sourceScopus
dc.sourcetitleSmart and Sustainable Built Environment
dc.subjectElectric utilities
dc.subjectEnergy
dc.subjectGray wolves
dc.subjectMicrogrid
dc.subjectOptimizers
dc.subjectPerformance
dc.subjectPhotovoltaics
dc.subjectProcured energy
dc.subjectSell energy
dc.subjectSystems performance
dc.subjectDemand side management
dc.titleInfluence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizeren_US
dc.typeArticleen_US
dspace.entity.typePublication
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