Task Scheduling and Container Deployment Strategy for Cloud Edge Collaborative Control System of Virtual Power Plant

The virtual power plant aggregates and controls the distributed new energy of the power system. The high-speed and high-precision processing and analysis capabilities of the cloud edge collaborative system are the key to the efficient operation of the virtual power plant. To improve the operational efficiency of cloud edge systems, this paper presents a task scheduling and container deployment strategy for cloud edge collaborative control system of virtual power plant. The architecture of the cloud edge collaborative control system for virtual power plants is illustrated. Preset container method is proposed to accelerate container deployment and task execution. Based on the present container method, the task scheduling strategy is proposed to improve the operation efficiency of cloud edge system and realize load balancing. And the effectiveness and reliability of the proposed strategy are tested through an example.