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, Ahmed El‐shafie

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Article number5900
JournalSustainability (Switzerland)
Issue number11
Publication statusPublished - Jun 1 2021


  • Charged system search (CSS)
  • Klang Gates Dam
  • Malaysia
  • Reservoir operation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law


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