Optimal operation of Klang gate dam using genetic algorithm

Operation of a reservoir system is full of complexities as it deals with different uncertainties, nonlinearities and time dependent variables. An optimal water distribution relation needs to be maintained between water release and storage in every operational time period. In this study, water release curves have produced for every month of the year in respect of different initial storage conditions, so that it will be easier for the decision maker to understand the operating criteria. Most popular optimization technique- Genetic Algorithm (GA) has used to find out the optimal release with maintaining all the general constraints (such as- water balance, release bounds and storage constraints) of a reservoir system. Historical daily rainfall and storage data regarding Klang gate dam (located in Malaysia) has used as inputs of the model. Three different category of inflow (high, medium and low) has considered in search of the optimum solutions. 22 years of actual historical inflow data has used for model verification purposes. The results from the model and the patterns of the release curves shows that, GA can be used as a useful and easily applicable tool to developed the release policy for optimal operation of Klang gate dam