高比例可再生能源接入背景下电网承载能力鲁棒提升策略

Robust Improvement Strategy for Power Grid Hosting Capacity withIntegration of High Proportion of Renewable Energy

高比例可再生能源并网为电网承载能力带来了挑战,提出一种高比例可再生能源接入背景下电网承载能力鲁棒提升策略。首先,考虑线路扩容成本、储能装置成本以及负荷需求响应容量成本,构建可再生能源出力和负荷给定场景下的确定性提升策略模型;其次,基于改进k-means聚类算法得到多个计及风-光-负荷相关性的典型场景,并以典型场景为区间中心的不确定区间描述负荷的不确定性;然后,基于两阶段鲁棒优化理论构建电网承载能力提升策略模型,并采用列和约束生成(column and constraint generation,C&CG)算法对模型进行求解;最后,算例结果验证了所提模型和求解方法的有效性。

The high proportion of renewable energy integration into the grid poses challenges to the hosting capacity of the power grid.This paper proposes a robust improvement strategy for the hosting capacity of the power grid with integration of high proportion of renewable energy.Firstly,considering the line expansion cost,energy storage device cost,and demand response capacity cost required for load,a deterministic improvement strategy model is constructed for renewable energy output and load under given scenarios.Secondly,based on the improved k-means clustering algorithm,multiple typical scenarios considering the wind-PV-load correlation are obtained,and the uncertainty of the load is described using the uncertainty interval centered with the typical scenarios.And then,based on the two-stage robust optimization theory,a strategy model for improving the hosting capacity of the power grid is constructed,and the column and constraint generation(C&CG)algorithm is used to solve the model.Finally,the effectiveness of the proposed model and solution method is verified by the case study.