计及需求响应的含大规模风电并网下电力系统灵活性评估

Assessment on flexibility of a power grid with large-scale wind farm integration considering demand response

为了分析在风电并网情况下多种调节资源对电力系统灵活性的影响,提出一种“整体-局部”的灵活性评估方法。在需求响应方面,针对分时电价,采用模糊C均值法对各时点负荷进行聚类,然后结合连续性划分准则对分时区间进行确定。考虑到风电场景集过大会带来求解效率低的问题,在Canopy聚类和K-medoids聚类的基础上提出一种双层聚类场景削减技术,并对削减后场景进行校验,确保其能有效地反映风电波动情况。在计算上,针对各风电场景,构建以经济性作为目标函数的机组组合模型并进行求解,然后根据多场景下的调度结果对电力系统的灵活性进行整体和局部的评估。通过仿真分析,验证了该评估方法的有效性与合理性。

In order to analyze the impact of various regulatory resources on the flexibility of a power system with wind power integration,a novel flexibility evaluation method is proposed from both the global and local perspective.In terms of demand response,for time-of-use price,the fuzzy C-means method is adopted to classify the load points.These are then combined with the continuous division criterion to determine the Time of Using(TOU)periods.To improve the efficiency of handling excessive wind power scenarios,a two-layer clustering method based on Canopy clustering and K-medoids clustering is proposed and verified to reflect the fluctuation of wind power.In the calculation,for each wind power scenario,an optimal dispatch model with economy as the objective function is constructed and solved,and then the overall and local flexibility of the power system is evaluated according to the scheduling results under multiple scenarios.Through simulation analysis,the effectiveness and rationality of the proposed flexibility assessment method are verified.