Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia

Sarmad Dashti Latif, Suzlyana Marhain, Md Shabbir Hossain, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr and Ahmed El-Shafie
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Sarmad Dashti Latif: Civil Engineering Department, College of Engineering, Komar University of Science and Technology, Sulaimany 46001, Kurdistan Region, Iraq
Suzlyana Marhain: Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia
Md Shabbir Hossain: School of Energy, Geoscience, Infrastructure, and Society, Heriot-Watt University, Putrajaya 62200, Malaysia
Ali Najah Ahmed: Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia
Mohsen Sherif: Civil and Environmental Engineering Department, College of Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
Ahmed Sefelnasr: National Water and Energy Center, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
Ahmed El-Shafie: Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia

Sustainability, 2021, vol. 13, issue 11, 1-19

Abstract: 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.

Keywords: charged system search (CSS); reservoir operation; Klang Gates dam; Malaysia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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