Abstract: To address the issues of delayed response, low coordination efficiency, and insufficient parallel operation capability in the scheduling of emergency power generation vehicles, this paper proposes an integrated strategy centered on a digital control platform, incorporating particle swarm optimization scheduling algorithms and parallel current collection control technologies. A multi-objective scheduling model is designed to achieve rapid response and efficient matching of power generation vehicles in multi-task and multi-scenario environments. Additionally, a cluster parallel operation technical solution supporting high-capacity power supply is proposed. The system has been validated in typical scenarios, effectively enhancing the intelligence level of scheduling and the stability of emergency power supply, providing technical support for the construction of new power systems.