College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

In recent years, outages of higher power sources in the distribution network triggered by extreme disasters have occurred repeatedly. When formulating power restoration strategies solely at the operation level, the distribution network often faces the problem of insufficient power resources, making it difficult to ensure a continuous and reliable power supply for important loads. To address the above problems, a power restoration method for the distribution network based on the optimal configuration of the photovoltaic and energy storage is proposed to achieve the optimal balance between efficient resource utilization and reliable load preservation. Firstly, the Beta distribution model is used to fit the light intensity distribution, and a photovoltaic output model considering temporal characteristics is established. Secondly, a bi-level power restoration optimization model is constructed for the distribution network, incorporating both the siting and sizing of the photovoltaic and energy storage, and the dynamic islanding partition in extreme disaster scenarios. Among them, the upper-level model considers investment and operation costs, line loss costs, and load loss costs, while the lower-level model aims to maximize the restored load as the objective function. Through the depth first search algorithm, the preliminary island partitioning is achieved, and the power margin and energy margin indicators are used to implement dynamic islanding partition, thereby achieving the maximum load restoration in extreme disaster scenarios. Finally, the feasibility and superiority of the proposed method are verified by comparing the restoration effects and costs of different strategies through numerical cases.