Joint Operation Policy for Cascade Reservoirs using Genetic Algorithms Searching in Feasible Region
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Abstract:
In this study, an optimization model of hydropower generation was built for joint operation of cascade reservoirs with the objective function to maximize the annual average amount of hydropower generation and guarantee ratio of ten-day hydropower generation and with the operation chart of each reservoir as the decision variable. The model was solved using the generic algorithms searching in feasible region, which can avoid extra efforts on the infeasible solution search and improve the optimization effectively. The model was applied to the cascade reservoirs in the Hanjiang River Basin to verify the efficiency of the model and algorithm.
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