A Decision Support System for Hydropower Reservoirs with Application to Dez and Karoon System in Iran

Abstract

In this paper a Decision Support System (DSS) for operation of multipurpose reservoirs with hydropower facilities is presented. The DSS system consists of six main modules: Database Management, Short-term and Long-term Inflow Forecasting, Long-term Operation (strategies), Short-term Operation (tactics), and Real-time Operation. The Deterministic and Stochastic Dynamic Programming Models are used to develop optimal operating policies for reservoir operation in a monthly scale. In this study, these models are developed and real cost function was incorporated based on reasonable estimates of water and energy prices. Conflicts between value of hydropower generation in different hours of a day and value of water allocation to different demands are considered in order to determine the optimal operation of reservoirs. The short-term model that is developed by using linear programming method is used to develop hourly and daily operating policies. The short-term energy export objectives are considered in long-term optimal operation planning. In this way, long-term policies are used in line with the short-term objectives.