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Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm

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dc.citedby3
dc.contributor.authorJouma Touma 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.authorid57222640905en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid36609854400en_US
dc.contributor.authorid56119339200en_US
dc.contributor.authorid8136874200en_US
dc.date.accessioned2025-03-03T07:43:30Z
dc.date.available2025-03-03T07:43:30Z
dc.date.issued2024
dc.description.abstractPurpose: This study aims to investigate the feasibility of proposed microgrid (MG) that comprises photovoltaic, wind turbines, battery energy storage and diesel generator to supply a residential building in Grindelwald which is chosen as the test location. Design/methodology/approach: Three operational configurations were used to run the proposed MG. In the first configuration, the electric energy can be vended and procured utterly between the main-grid and MG. In the second configuration, the energy trade was performed within 15 kWh as the maximum allowable limit of energy to purchase and sell. In the third configuration, the system performance in the stand-alone operation mode was investigated. A whale optimization technique is used to determine the optimal size of MG in all proposed configurations. The cost of energy (COE) and other measures are used to evaluate the system performance. Findings: The obtained results revealed that the first configuration is the most beneficial with COE of 0.253$/KWh and reliable 100%. Furthermore, the whale optimization algorithm is sufficiently feasible as compared to other techniques to apply in the applications of MG. Originality/value: The value of the proposed research is to investigate to what extend the integration between MG and main-grid is beneficial economically and technically. As opposed to previous research studies that have focused predominantly only on the optimal size of MG. ? 2023, Emerald Publishing Limited.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1108/IJESM-03-2023-0016
dc.identifier.epage748
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85161634941
dc.identifier.spage725
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161634941&doi=10.1108%2fIJESM-03-2023-0016&partnerID=40&md5=906ecc3f0f3376055393a7b532d2c56a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36629
dc.identifier.volume18
dc.pagecount23
dc.publisherEmerald Publishingen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Energy Sector Management
dc.subjectBattery storage
dc.subjectEnergy management
dc.subjectSales
dc.subjectSecondary batteries
dc.subjectWind
dc.subjectBattery
dc.subjectEnergy
dc.subjectEnergy management strategy
dc.subjectMain-grid
dc.subjectManagement strategies
dc.subjectMicrogrid
dc.subjectOptimisations
dc.subjectPhotovoltaics
dc.subjectPower supply
dc.subjectPower supply shortage
dc.subjectPurchased energy
dc.subjectSell energy
dc.subjectSupply shortages
dc.subjectWind speed
dc.subjectOptimization
dc.titleInvestigation of the feasibility of microgrid under three operational configurations using whale optimization algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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