1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;2.State Key Laboratory of Power System Operation and Control, Beijing 100084, China

As the proportion of the renewable energy access continues to increase, traditional thermal power is gradually replaced. Ensuring daily peak regulation under conventional conditions and power supply support under adverse weather conditions with limited flexibility is the basis for the safe operation of new power systems. On this basis, a multi-timescale balancing method for power systems considering renewable energy accommodation and power supply support is proposed. Firstly, the optimal scheduling curve of long-term energy storage in several year-round net load scenarios is calculated and taken as the operation experience. Then, in the week-ahead stage, according to the renewable energy power prediction to determine whether it is adverse weather conditions, the power supply support strategy is designed for adverse weather conditions, and a flexibility-based scheduling strategy collaborating day-ahead, intra-day and real-time stages is designed for conventional scenarios. The proposed method does not require the accurate output curve prediction of the renewable energy, and can realize the organic coordination of multi-time scale scheduling from year-round to real-time scheduling, as well as the multi-source coordination of long-term and short-term energy storage and conventional units. Finally, a numerical case is given with reference to a regional power grid data and compared with the traditional rolling optimization method to verify the advantages of the proposed method and the effectiveness of the power supply support strategy.