A Novel Stochastic Optimal Scheduling Strategy for Wind-Solar-Pumped Storage Power System Considering Scenario Clustering

With the increasing penetration of renewable energy sources, the inherent fluctuation and variability pose great challenges to the stability of power system. Pumped storage has raised widespread concerns due to its appealing ability to compensate power fluctuations flexibly and efficiently. To facilitate the operation of wind-solar-pumped storage power system effectively, this paper proposes a stochastic optimal scheduling strategy. Firstly, serval scenarios are generated via Monte Carlo simulation, and typical reduced scenarios are extracted by K-means method. Then, A mixed-integer linear program is formulated to maximize the net profits of combined system while satisfying the relative constraints. Finally, Numerical results are presented to validate the effectiveness of the proposed model.