考虑不确定性物理边界的灵活爬坡备用分布鲁棒经济调度

Facing the influence of renewable energy uncertainty，it is necessary to fully exploit the flexible adjustment ability of power system. Therefore，an economic dispatch model of flexible ramping reserve based on data-driven distributionally robust chance constraints is proposed. Considering the physical boundaries of uncertain power fluctuation of renewable energy，the fuzzy set is constructed by using Wasserstein distance，and then a more accurate uncertainty model is established. The joint chance constraints are used to control the security violation risk in the second stage，which avoids overly conservative decision results while ensuring security robustness. Based on the affine decision rules and conditional value at risk theory，the two-stage distributionally robust problem is approximated as a linear model，which can be solved efficiently. An improved IEEE 9-bus system is taken as the example to verify the effectiveness of the proposed method. The influence of training sample size on the results is explored，and the proposed method is compared with the robust optimization method and stochastic optimization method.