Communication-Constrained Remote Power Grid Resilience Enhancement: Coordinated Planning of Unmanned Aerial Vehicles and Mobile Energy Storage Vehicles

The underdeveloped power and communication infrastructures in remote areas are prone to simultaneous failure during extreme disasters, exacerbating the difficulty of power system recovery. Mobile energy storage vehicles (MESVs) and unmanned aerial vehicles (UAVs) can achieve the coordination of power and communication, providing precise and effective power support for remote power grid. However, the coordinated planning of MESVs and UAVs is constrainted by factors such as endurance, coverage, and connection. The relationship between these constraints and the performance of dispatching flexibility and resilience support has not been well investigated. This paper proposes a deployment-dispatching two-stage coordinated planning framework of UAVs and MESVs to enhance the remote power grid resilience. The topology-based UAV deployment model and the power flow based MESV deployment mode is proposed. The coordinated dispatching model for UAVs and MESVs considering communication availability is proposed. The test case on IEEE 33 node system and application case on a remote power grid in Northwest China is conducted. The results show that the spatial dispatching flexibility in exchange for communication and traffic constraints significantly improves the resilience support performance of MESVs.