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A novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart grids

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dc.citedby3
dc.contributor.authorHaider H.T.en_US
dc.contributor.authorMuhsen D.H.en_US
dc.contributor.authorAl-Nidawi Y.M.en_US
dc.contributor.authorKhatib T.en_US
dc.contributor.authorSee O.H.en_US
dc.contributor.authorid57038392900en_US
dc.contributor.authorid56728928200en_US
dc.contributor.authorid57225239929en_US
dc.contributor.authorid31767521400en_US
dc.contributor.authorid16023044400en_US
dc.date.accessioned2023-05-29T09:36:38Z
dc.date.available2023-05-29T09:36:38Z
dc.date.issued2022
dc.descriptionAutomation; Costs; Decision making; Electric power transmission networks; Multiobjective optimization; Scheduling; Smart power grids; Adaptive consumption pricing scheme; Consumption levels; Demand response; End-users; Energy cost; Multi-objectives optimization; Optimal load scheduling; Pricing scheme; Time of use; VIKOR; Domestic appliances; decision making; energy management; optimization; research; solubilityen_US
dc.description.abstractIn this paper, an optimal load scheduling model of household appliances for smart home energy management considering demand response for different pricing schemes is proposed. Henry gas solubility optimization method is used to obtain optimal load scheduling solutions, and then these solutions are sorted using VIKOR multi-criteria decision making method. Multiple pricing schemes have been used such adaptive consumption level pricing scheme and time of use. The use of multiple pricing scheme is to compare the results of customers cost saving obtained. The results show, the proposed method a saves more than 80% and 76% of end-user energy cost for time of use and adaptive consumption level pricing scheme respectively. Meanwhile, the peak load of end-user is reduced by 55% for the baseline operation. The outcomes of this paper are also compared with other works in the literature in order to validate the proposed method. It is concluded in this research that the proposed method provides essential saving for energy cost and demand's peak power as well as keeps acceptable range of customer inconvenience level. � 2022 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo124360
dc.identifier.doi10.1016/j.energy.2022.124360
dc.identifier.scopus2-s2.0-85131354971
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85131354971&doi=10.1016%2fj.energy.2022.124360&partnerID=40&md5=a8411e4093cc5f0ad09b4481e9006dd6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26776
dc.identifier.volume254
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy
dc.titleA novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart gridsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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