面向灵活性的电能量与辅助服务日前市场联合出清模型

电能量和辅助服务日前市场作为支撑电力系统短期运行灵活性的主要交易平台，其出清模型关系到对灵活性资源的有效激励和利用效率。结合电力系统对灵活性电力资源的需求，分析了传统机组组合模型对灵活性资源利用效率的影响，提出了一种面向系统灵活性的日前市场联合出清模型。模型将爬坡变量纳入决策变量，考虑了机组启停过程出力、优化时间间隔、辅助服务调节方向等因素对系统灵活性的影响，实现了不同交易品种的联合出清。对含可再生能源、核电和储能系统的电力系统进行了案例分析，结果显示该方法可以体现不同灵活性资源的性能差异，更好地适应高比例可再生能源系统的需要。

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services

In the power system with high penetration rate of renewable energy, the day-ahead market of electric energy and ancillary services acts as the primary trading platform to support the short-term operation flexibility of the power system. Therefore, its market clearing model is of vital importance for the effective incentive and utilization efficiency of flexible resources. In this paper, combined with the system demand for flexible power resources, the influence of traditional unit commitment model on the utilization efficiency of flexible resources is analyzed, and a flexible day-ahead market co-optimization model is then proposed. The model incorporated the ramping variables into the decision variables, and took into account the effects of the unit start-stop process output, optimal time interval, ancillary service adjustment direction and other factors on the system flexibility, so as to achieve the joint clearing of different trading varieties. Case studies on the system including renewable energy, nuclear power and energy storage indicates that the application of this method exhibits the performance differences of various flexible resources and hence better meet the needs of high-proportion renewable energy systems.