随着高比例可再生能源并网持续增长，风光出力的波动性和不确定性给系统灵活性运行带来严峻的挑战，合理利用灵活性资源，提高电力系统灵活爬坡能力将成为应对新能源并网挑战的重要手段。本文在考虑可再生能源不确定的前提下，分析了不同出清间隔下系统灵活爬坡需求差异；基于随机规划模型建立了两阶段电能量和灵活爬坡市场联合出清模型，利用风光储场站等灵活性资源丰富的调控手段，在缓解实时市场不确定性的同时，提供灵活爬坡产品，提高系统灵活调节能力；最后通过算例分析了不同出清方式与预测误差对出清结果的影响。结果表明，考虑风光储场站参与灵活爬坡的两阶段市场联合出清可以提高系统实时运行灵活性与整体经济性。

With the integration of a high proportion of renewable energy into the grid, the volatility and uncertainty of wind and solar output will pose more severe challenges to the flexible operation of the system. Reasonable utilization of flexible resources and improving the flexible ramping ability of the power system will become an important means to address the challenges of new energy. This article analyzes the differences in system flexibility ramping requirements under different clearing intervals, taking into account the uncertainty of renewable energy; a two-stage electricity energy and flexible ramping market joint clearing model was established based on a stochastic programming model. By utilizing flexible resource rich regulation methods such as Wind/Photovoltaic/Energy Storage Power Station, while alleviating real-time market uncertainty, flexible ramping products were provided to improve the system's flexible adjustment ability; Finally, an example was used to study the impact of the clearing model under different clearing methods and prediction errors. The results indicate that considering the participation of Wind/Photovoltaic/Energy Storage Power Station in a two-stage market joint clearing for flexible ramping can improve the real-time operational flexibility and overall economy of the system.