基于无人机应急通信的配电网灾后信息物理协同恢复策略

The distribution system restoration (DSR) is faced with difficulties brought about by a power failure and communication interruption under the extreme disasters. The recovery of the communication system plays an important role in supporting the restoration of the distribution network based on the distribution automation. However, in the existing DSR practices, the communication recovery and its interdependent relationship with the distribution system restoration are not fully considered. Therefore, it is difficult to achieve the seamless coordination among multiple DSR tasks after the communication facilities are damaged. In this paper, a two-staged cyber-physical coordination restoration strategy of the distribution network based on the emergency communication unmanned aerial vehicles (UAVs) is proposed by exploiting the emergency communication resources of the cyber layer and combining with the recovery measures in the physical layer to enhance the power system resilience. The first stage aims to locate the UAV sites, while the second stage plans the UAV routing and builds the DSR coordination optimization model. The proposed model is formulated as a mixed-integer linear programming one, which is solved to generate the optimal routes of the UAVs and the restoration sequences of loads. The effectiveness of the proposed method is evaluated on the IEEE test feeder.