含动态不确定性与频率电压控制的城市配电网灾后负荷恢复方法

For the carbon emission peak and carbon neutrality, the large-scale penetration of distributed renewable energy resources increases the uncertainty and control complexity of urban distribution networks under extreme events. An adaptive post-disaster load restoration method is urgently needed to ensure safe operation of urban distribution networks. The current post-disaster load restoration methods do not fully consider the uncertainty of dynamic changes at the operational level, dynamic microgrid boundary changes, frequency-voltage control, and other practical factors, which affects the feasibility of the load restoration method in the actual distribution network. For this purpose, first, this paper accurately characterizes the dynamic uncertainty of renewable energy resources and load with the C-Vine Copula and conditional probability. Then, a post-disaster load restoration optimization model is proposed considering dynamic microgrid partition and frequency-voltage control, and an efficient two-stage solving algorithm is also proposed. Finally, an online load restoration framework for urban distribution networks is built for real-time dispatching to realize rolling updates of post-disaster load restoration strategies. The effectiveness of the proposed method is verified in an modified IEEE 37-bus feeder system.