Joint Optimal Operation and Bidding Strategy of Scenic Reservoir Group Considering Energy Storage Sharing

Under the background of the power market and low-carbon economy, to enhance the Spatio-temporal complementarity between new energy power stations, participate in the transaction and operation of the power auxiliary service market, and improve the utilization rate of self-distributed energy storage, this paper establishes a model of scene-landscape reservoir joint optimization operation and bidding strategy considering energy storage sharing. Firstly, based on the complementary characteristics of new energy power stations, the joint operation mechanism of wind-solar reservoirs considering energy storage sharing is designed. The cooperative operation mechanism of wind-solar-storage is analyzed. Secondly, considering the market means to promote new energy consumption, this paper establishes a market revenue model in which wind and solar power plants participate. On this basis, considering the uncertainty of electricity price and Wind-Solar output, a joint bidding strategy for the Wind-Solar reservoir group is proposed to maximize the benefits. Finally, the Gurobi solver is used to optimize the joint bidding and cooperative operation model. The simulation results show that the strategy proposed in this paper can effectively improve the utilization rate of self-distributed energy storage, increase the revenue of scenic reservoirs.