Optimal Scheduling of Virtual Power Plant with Diversified Distributed Energy Sources

The extensive access of distributed energy resources in power grid, in which wind power as well as photovoltaic power generation output will be affected by weather and will be characterized by volatility and randomness, which brings certain potential risks to power system scheduling and operation, and aggregation of these resources through the virtual power plant (VPP) could efficiently mitigate the impact of renewable energy grid connection. In this paper, a classical scenarios of wind power as well as photovoltaic are obtained through scenario generation and reduction, and an optimized scheduling model containing distributed energy VPP is proposed according to the coalition game theory. By simulation of different scenarios, the relationship between the cooperation space and the fair distribution of benefits of the VPP containing distributed energy and the distribution grid is analyzed, and the conclusions obtained verify the correctness and model validity.