Multi-time Scale Coordinated Operation Strategy of Virtual Power Plant Clusters Considering Power Interactive Sharing

Virtual power plant (VPP), as a new generation of intelligent control technology integrating multi-link resources of "source load & storage", can break regional restrictions and realize energy interconnection and sharing in a wider area. In order to deal with the differences of "source & load" resources of different VPPs in the same region and solve the problem of power real-time balance caused by the fluctuation of Distributed Renewable Energy (DRE) and the uncertainty of power consumption behavior, the cluster operator is introduced to reasonably control the cluster with multiple types of VPPs, and the VPP cluster system framework with multiple heterogeneous DREs, controllable generator sets, energy storage, electric vehicles and controllable loads is constructed. The VPP cluster internal power mutual benefit is priced independently to encourage the VPPs to participate in the joint scheduling. Aiming at the characteristics of the predictability of random variables and the gradual improvement of cumulative errors with the advance of decision-making time, a two-stage joint optimization model including day ahead coordination scheduling and day ahead rolling optimization is established. In the day ahead stage, the multi-VPP cluster is focused on participating in the external market transactions and the internal power mutual benefits, while in the intraday stage, the internal power mutual benefit is focused on? Finally, taking the multi-VPP cluster system integrating different distributed energy resources as an example, simulation analysis is carried out. The results show that the multi-VPP coordinated interaction and multi-time scale rolling optimization can effectively improve the regional power balance problem and enhance the operation economy. © 2022, Power System Technology Press. All right reserved.