ABSTRACT The introduction of the “dual carbon” goals and the large‐scale integration of renewable energy sources such as wind and photovoltaic (PV) power have imposed higher requirements on the flexibility of power system dispatch. To address this issue, a short‐term optimal scheduling method is proposed for a cascade hybrid pumped storage power station integrated with wind and PV generation under transmission‐oriented operation scenarios. First, a joint generation system consisting of wind power, PV power, and cascade hybrid pumped storage stations is established. Then, a short‐term multi‐objective optimization model is formulated with the objectives of minimizing the peak–valley difference of residual load and maximizing the total output of the joint system. The non‐dominated sorting genetic algorithm II (NSGA‐II) is employed. Case studies show that during periods with abundant water and renewable energy resources, the peak–valley difference of residual load can be reduced by 31.32%, the total system output can be increased by 2432.75 MW, and the coefficient of variation of residual load can be reduced by 17.7%. These results demonstrate that the proposed method effectively enhances renewable energy accommodation capability and improves the operational flexibility of cascade hydropower systems.
He et al. (Thu,) studied this question.