Technology for Power Coordination Control of Cluster Electric Vehicles in Emergency Power Supply Scenarios

To address power outages in urban distribution networks caused by extreme disasters and the insufficient economy and flexibility of traditional resilience-enhancing measures, this paper proposes a power coordination control strategy for charging stations and battery swap stations. First, an importance evaluation method considering the time-varying characteristics of loads is constructed to quantify power outage losses. Then, the LSTM network is used to predict load time-series demand, and generalized energy storage models for battery swap stations and charging stations are established to quantify emergency response potential. Finally, considering constraints such as system power balance and node voltage security, with the goal of minimizing power outage economic losses and electric vehicle battery wear, the particle swarm optimization algorithm is adopted to solve for optimal scheduling instructions. Experiments show that this strategy ensures node voltage stability and power balance, reduces economic losses and battery wear, and achieves coordinated optimization of system safety and economy.