Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia
algorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysia
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2023
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my.uniten.dspace-261712023-05-29T17:07:26Z Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia Latif S.D. Marhain S. Hossain M.S. Ahmed A.N. Sherif M. Sefelnasr A. El?shafie A. 57216081524 57222657546 55579596900 57214837520 7005414714 6505592467 16068189400 algorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysia In 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. Final 2023-05-29T09:07:26Z 2023-05-29T09:07:26Z 2021 Article 10.3390/su13115900 2-s2.0-85107364419 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107364419&doi=10.3390%2fsu13115900&partnerID=40&md5=f170a09468c7f7157633bb6876865562 https://irepository.uniten.edu.my/handle/123456789/26171 13 11 5900 All Open Access, Gold, Green MDPI AG Scopus |
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Malaysia |
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| description |
algorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysia |
| author2 |
57216081524 |
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57216081524 Latif S.D. Marhain S. Hossain M.S. Ahmed A.N. Sherif M. Sefelnasr A. El?shafie A. |
| format |
Article |
| author |
Latif S.D. Marhain S. Hossain M.S. Ahmed A.N. Sherif M. Sefelnasr A. El?shafie A. |
| spellingShingle |
Latif S.D. Marhain S. Hossain M.S. Ahmed A.N. Sherif M. Sefelnasr A. El?shafie A. Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| author_sort |
Latif S.D. |
| title |
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| title_short |
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| title_full |
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| title_fullStr |
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| title_full_unstemmed |
Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia |
| title_sort |
optimizing the operation release policy using charged system search algorithm: a case study of klang gates dam, malaysia |
| publisher |
MDPI AG |
| publishDate |
2023 |
| _version_ |
1806426112871366656 |
| score |
13.214268 |