一种具有动态不确定性集合的可再生能源电力系统定量消纳保障鲁棒调度方法

Wind power generation (WPG) has been increasingly integrated into power systems to reduce carbon emissions. However, its inherent volatility and stochasticity have significantly challenged the reliable system operation and effective accommodation. In this paper, a robust scheduling method with a quantitative accommodation guarantee for power systems with WPG integration is proposed. First, a dynamic uncertainty set (DUS) of WPG is introduced, and a stochastic accommodation rate (SAR) indicator is accordingly proposed and derived to quantify the attainable accommodation level. Based on the DUS, a robust scheduling method is proposed, in which the implicit affine strategy (IAS) is adapted to guarantee the nonanticipativity of scheduling strategies. Moreover, a SAR constraint is carefully built according to the assessment result of the power system's maximal and minimal SAR and embedded into the scheduling model to provide a quantitative accommodation guarantee. An illustrative case is presented to validate the effectiveness of the SAR indicator. Numerical simulations in the modified 6-bus, 14-bus, and 118-bus power systems validate the superiority of the proposed scheduling method.