Stochastic Scheduling of a Wind-Photovoltaic-Hydro Complementary System Using Stochastic Dual Dynamic Programming Method

This work presents a multistage stochastic programming formulation of a wind-photovoltaic-hydro complementary system considering the uncertainties in the system. It aims to meet the scheduling requirements of the power grid and maximize utilization level of renewable energy. To solve the problem using FAST toolbox, the stochastic scheduling optimization model is linearized, which is resolved based on stochastic dual dynamic programming. Finally, the effectiveness and superiority of the applied method are verified by a case study.