An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids

Considering the uncertainty of solar panel electricity generation, this study establish an optimal scheduling model for VPP containing multiple microgrids (MMGs), and propose a real-time optimal scheduling method applicable to this scenario, which considering to set partial microgrid as backup. The optimal scheduling model contains two parts, the day-ahead scheduling and real-time scheduling. The day-ahead scheduling aims at maximizing the VPP profit, and the optimal baseline and regulation capacity of VPP for each hour of the next day will be calculated. The goal of real-time optimization is to make the electricity consumption of VPP follow the dynamic regulation signal (RegD signal) at the lowest cost. Through the real-time scheduling, the optimal operation state of each microgrid and various resources will be obtained. The simulation results prove that this real-time optimal scheduling scheme can enable VPP to gain more revenue without affecting the frequency support that VPP helps the grid achieve.