Scenario-Generation-Based Optimal Scheduling Method For Combined Wind-Photovoltaic-Pumped Storage

Aiming at the combined wind power-PV-pumped storage optimal scheduling problem, firstly, based on the k-means algorithm improved by the elbow method, the daily scenarios of wind and solar power are clustered to generate the typical planning scenarios; then, based on the generated scenarios, the optimal scheduling model of the combined generation system is established with the objective of minimizing the deviation of the grid power of the combined generation system from the demand of the electric power system, and solved by the Black-winged kite algorithm. pumped storage co-generation system optimization scheduling model, and solved by Black-winged kite algorithm. Finally, simulation verification is carried out to prove the correctness and effectiveness of the methodology in this paper.