1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.Changchun Power Supply Company of State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China

In order to improve the coordination and robustness of pre-disaster and post-disaster power repair materials and repair crew scheduling, a pre-disaster pre-layout and post-disaster collaborative scheduling strategy for power repair materials considering the dual uncertainties of fault information and material demand is proposed. Firstly, in view of the dual uncertainties of pre-disaster forecasting information and power repair material, considering the degree of risk preference of decision makers, a distributed robust optimization (DRO) model of two-layer material allocation distribution based on the mean-conditional value-at-risk (CVaR) is established. The upper layer optimizes the selection of material transfer points and the number of preset power repair materials with the goal of minimizing the cost of power repair material allocation. The lower layer searches for the worst fault scenario distribution based on the mean-CVaR tool, and robust optimizes the power repair material allocation strategy from the transfer point to the fault point in the fault scenario to obtain the fault loss cost. Secondly, considering the post-disaster time series coupling constraints of material and repair crew scheduling, a mixed-integer linear programming model is established with the goal of minimizing the outage loss, the type and number of materials allocate to each fault point from the transfer point and the repair crew scheduling as decision variables. Finally, through the simulation analysis of the actual 118-bus distribution network, the effectiveness of the proposed strategy is verified.

This work is supported by National Natural Science Foundation of China (No. 52307094).