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

Author

Listed:
  • 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
    National Water and Energy Center, 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)

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.

Suggested Citation

  • Sarmad Dashti Latif & Suzlyana Marhain & Md Shabbir Hossain & Ali Najah Ahmed & Mohsen Sherif & Ahmed Sefelnasr & Ahmed El-Shafie, 2021. "Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5900-:d:561020
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    References listed on IDEAS

    as
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