Based on the hypothesis that pumped storage power station is available for multi-day optimization and adjustment, the paper has proposed a long-term operation optimization model of pumped-hydro power storage (PHPS) system based on approximate dynamic programming (ADP). In this multistage decision model, across the stages, value function approximation (VFA) of the reservoir energy storage was used to keep the overall optimization characteristics; during the stages, generated energy & generating periods, and electricity consumption for pumping & pumping periods are used as decision variables to conduct daily optimization operation. The paper got the approximate optimal solution through iteration solution decision variable and value function so as to avoid “curse of dimensionality” in conventional multistage decision model. According to the experiment, the ADP-based model can accurately describe the long-term operation modes of pumped storage power station, and its calculation methods are more appropriate for this kind of large-scale optimized decision problem than conventional mathematic planning methods.
The Long-Term Optimization Model of Pumped-Hydro Power Storage System Based on Approximate Dynamic Programming
