Optimal Scheduling of High Proportion Renewable Energy Systems Considering the Responsiveness of User-Side Energy Storage Clusters

With the gradual development of user-side energy storage, how to fully tap the regulation potential of energy storage clusters and improve the operational flexibility and stability of power systems has become a key research direction. Therefore, this thesis proposes an optimal operation strategy for a high-proportion renewable energy system that considers the response capability of the user-side energy storage cluster. Firstly, based on the general model of energy storage, an equivalent method of energy storage cluster response capability considering the integration of inner approximate constraint space is proposed, which realizes the overall description of the response characteristics of the energy storage cluster. Secondly, to maximize the operation benefits of high proportion renewable energy systems considering conditional value at risk, a system optimization scheduling model considering typical scenarios of wind-power output is constructed to effectively deal with the scheduling risks caused by the uncertainty of renewable energy sources. Finally, the effectiveness of the proposed model is verified by taking a certain system as an example.