Abstract：The frequency and intensity of natural disasters have greatly increased over the past decades, and they are expected to further increase in the coming future. As a consequence, it becomes a critical issue worldwide to deal with the disasters and their impacts. More and more scholars carry out research on "grid resilience". And improving the fault recovery capability of distribution network(DN) is an important means to improve the resilience. At the same time, with the continuous deepening of the application of modern information communication technology in the power system, the power information physical system has been formed. Many blackouts indicate that the failure or attack of the information system will affect the information system and the safe and stable operation of the physical system. In this context, a multi-period dynamic power supply restoration strategy of DN considering the coupling of physical- cyber- traffic network is proposed. The impact of information network on power supply restoration is discussed in depth, and the flexible resources such as mobile energy storage systems (MESSs) are fully used for power supply restoration. Firstly, consider the fluctuation of load power and the regulation ability of controllable load. Taking load recovery as the main recovery objective. A multi-period power supply topology reconfiguration model is established to realize dynamic optimization of DN topology. Secondly, A dynamic scheduling model of MESS is established, Give play to its multi-period power support capability in time, and play its mobile role in space to achieve spatio-temporal coordinated operation with other Distributed generations. The impact of traffic flow on travelling speed of MESS is taken into account and Floyd algorithm is used for the transmission route optimization. In addition, the coupling model of information-distribution network is established based on the information-physical network. The influence of different coupling degrees on load recovery is deeply studied. In the recovery process, the first stage is the emergency response for load power supply restoration. By increasing the output power of power sources, optimizing the DN topological structure and the location of MESSs, most critical loads can be restored. The purpose of the second stage is to find the optimal path of MESS, so that MESS can reach the destination node in the shortest time. According to the start node and destination node obtained in the first stage, Floyd algorithm is used to solve the shortest scheduling path of MESSs. Combined with the traffic flow data in t period, the MESS running speed of each section is calculated according to the flow-velocity model. Finally, the scheduling time of the shortest path is obtained by using the path-time model. The following conclusions can be drawn through case analysis. (1) With the deepening of information-distribution network coupling, the more fragile the information network is, the less the load recovery of DN will be. Therefore, in order to ensure the reliability of load recovery and the effectiveness of recovery strategies, it is necessary to consider the impact of information networks in the actual recovery process. (2) This paper considers the mobile energy supply capacity of MESS and the impact of traffic flow in different periods on MESS dispatching. The case results show that the restoration scheme of dynamically optimizing the location of MESS has certain advantages in the case of long-term power outage, and improves the restoration capability of DN.
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2023, Vol. 38 
