Cloud-edge Collaborative Real-time Optimal Schedule Method of Virtual Power Plant Considering Day-ahead Deviation and Grid Demand

In allusion to the problem that uncertainty of distributed resources makes the day-ahead dispatching plan for virtual power plant (abbr. VPP) generates power deviation in the real-time, which affects the performance of VPP and system, a VPP cloud edge collaborative real-time regulation method that takes into account daily bias and power grid demand was proposed. Firstly, based on the characteristics of the distribution network structure, cloud-edge collaborative optimal schedule architecture of VPP was constructed. And the real-time optimal schedule strategy of VPP considering real-time market demand was proposed. Secondly, to improve the speed of resource regulation of VPP in real-time phase, an edge-side coordinated consistency regulation strategy was proposed to calculate the distributed optimization for regulation power in VPP station area. Finally, an example was given to prove the rationality and effectiveness of the proposed strategy.