With the increasingly mature of interaction technology between electric vehicles and the power grid, the participation of electric vehicles in the collaborative decision-making of power generation and reserve in power systems has a broad application prospect. Considering the uncertainties such as electric vehicle failure, generator unit outage, renewable energy power output and power load prediction deviation, the Worst-Case Value-at-Risk (WCVaR) is studied in this paper, and the collaborative risk decision-making model determined by power generation and reserve determining based on the risk measurement theory is constructed. The 22-bus system is taken as an example. The simulation examples of electric vehicles and photovoltaic power stations are given, and the influence of different confidence level combinations on the simulation results is analyzed. The results show that the high-cost operation risk caused by random factors can be effectively solved by the model.
Keywords Electric vehicles, power system reserve, collaborative decision-making, risk measure theory