Determining deep peak-regulation reserve for power system with high-share of renewable energy based on virtual energy storage

With the continuous rapid growth of the renewable energy power generation, the contradiction between renewable energy accommodation demand and reverse peak regulation characteristics has become a severe challenge for power grid operation, while the power marketization has also provided a new way for large-scale renewable energy accommodation. To address this issue, a deep peak-regulation reserve trading strategy for power system with high-share of renewable energy based on virtual energy storages (VES) is proposed in this paper. Firstly, a peak-regulation reserve model of renewable energy is established based on the uncertainty, and a peak-regulation reserve model of VES is designed considering the demand-side response and the "charge and discharge" characteristics of energy storage. Secondly, on the basis of the deep peak-regulation technology of thermal units, a deep peak-regulation reserve model for thermal power is proposed, in which different peak-regulation depths have different electricity price compensations. Finally, a peak-regulation reserve trading strategy with renewable energy accommodation as the core and minimum peak-regulation reserve cost as the objective is proposed, where VES and deep peak regulation of thermal power are both the market participants. Results of case study verify the effectiveness of the proposed reserve trading strategy to ensure the peak-regulation reserve capacity of the system.