Bilateral strategic decision-making method of renewable energy transaction based on conditional risk value

In view of the impact of renewable energy interconnection on the traditional electricity market and the different demand for electricity from different capacity users, this paper proposes a conditional risk value (CVaR) based business transaction model. According to the market share, the loss functions of renewable energy generators and thermal power suppliers with different capacities are superimposed to obtain unilateral loss functions. User price data are obtained through large data statistics. On this basis, the possible losses of bilateral electricity transactions under different risk conditions are given, and the optimal trading strategies are sought according to the preferences of users and traders. The results show that Large-capacity users tend to be more confident and less risky.