A Dynamic Programming Model Coupled with Fuzzy Rule Base for Reservoir Operation Optimization

A dynamic programming fuzzy rule-based (dpfrb) model for optimal operation of reservoirs system is presented in this paper. a deterministic dynamic programming (dp) model is used to develop the optimal set of inflows, storage volumes, and reservoir releases. these optimal values are then used as inputs to a fuzzy rule-based (frb) model to derive the general operating policies. subsequently, the operating policies are evaluated in a simulation model while optimizing the parameters of the frb model. the algorithm then gets back to the frb model to establish the new set of operating rules using the optimized parameters. this iterative approach improves the value of the performance function of the simulation model and continues until the satisfaction of predetermined stopping criteria. the dpfrb performance is tested and compared to a model which uses the multiple regression based operating rules. results show that the dpfrb performs well in terms of satisfying the system target performances.