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Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia

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dc.citedby5
dc.contributor.authorLatif S.D.en_US
dc.contributor.authorMarhain S.en_US
dc.contributor.authorHossain M.S.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorSherif M.en_US
dc.contributor.authorSefelnasr A.en_US
dc.contributor.authorEl?shafie A.en_US
dc.contributor.authorid57216081524en_US
dc.contributor.authorid57222657546en_US
dc.contributor.authorid55579596900en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid7005414714en_US
dc.contributor.authorid6505592467en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T09:07:26Z
dc.date.available2023-05-29T09:07:26Z
dc.date.issued2021
dc.descriptionalgorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysiaen_US
dc.description.abstractIn planning and managing water resources, the implementation of optimization techniques in the operation of reservoirs has become an important focus. An optimal reservoir operating policy should take into consideration the uncertainty associated with uncontrolled reservoir inflows. The charged system search (CSS) algorithm model is developed in the present study to achieve optimum operating policy for the current reservoir. The aim of the model is to minimize the cost of system performance, which is the sum of square deviations from the distinction between the release of the target and the actual demand. The decision variable is the release of a reservoir with an initial volume of storage, reservoir inflow, and final volume of storage for a given period. Historical rainfall data is used to approximate the inflow volume. The charged system search (CSS) is developed by utilizing a spreadsheet model to simulate and perform optimization. The model gives the steady?state probabilities of reservoir storage as output. The model is applied to the reservoir of Klang Gates for the development of an optimal reservoir operating policy. The steady?state optimal operating system is used in this model. � 2021 by the author.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5900
dc.identifier.doi10.3390/su13115900
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85107364419
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107364419&doi=10.3390%2fsu13115900&partnerID=40&md5=f170a09468c7f7157633bb6876865562
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26171
dc.identifier.volume13
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleSustainability (Switzerland)
dc.titleOptimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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