1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.East China Branch of State Grid Corporation of China, Shanghai 200120, China;3.Wenling Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenling 317500, China

In order to adapt to the new trend of capacity resource diversification and the new requirements of investment incentive in the new power system, aiming at the construction problem of sufficiency guarantee mechanism for generation capacity in China, the capacity subsidy electricity price mechanism and capacity evaluation method are constructed with consideration of diversified source, storage and load resources. First, based on the theory of marginal generation cost, the “lack of money” problem in the pure electric energy market and the principle of capacity pricing are revealed, the method of setting capacity subsidy electricity price is put forward, and the capacity adjustment coefficient is introduced to effectively stimulate investment. Then, combined with the different characteristics of source, storage and load resources, the peak load capacity support is provided for the system, the active power output and scheduling models of wind, solar and water renewable power sources and new load storage entities are established, and the two-state method is integrated to construct various component models. The reliability evaluation method of sufficient capacity of diversified resources is established by using the sequential Monte Carlo simulation. On this basis, a practical evaluation method for classification differences is proposed, which overcomes the defects of traditional evaluation methods of wind,solar,energy storage and load, scientifically reflects the actual contribution of various resources to capacity support, and takes into account the simplicity and transparency of calculation. Finally, the case verification shows that the mechanism can realize fair compensation, provide scientific power generation investment signal, and ensure cost recovery, sufficient generation capacity and stable electricity price. The practical evaluation method better balances the relationship between evaluation accuracy and policy implementation.

This work is supported by National Natural Science Foundation of China (No. U2066214).