Study on grid price mechanism of new energy power stations considering market environment

With the proposal of the “double carbon” goal, the large-scale development of new energy has spawned the development of green card market. It is urgent to study and explore the formation mechanism of on grid electricity price suitable for new energy power generation under the “double carbon” goal. Therefore, this paper studies the on grid price mechanism of new energy power stations considering the market environment. Firstly, the cost structure of photovoltaic power generation and wind power generation is analyzed, and the least squares support vector mechanism (LS-SVM) of quantum particle swarm optimization (QPSO) is used to build the cost prediction model of new energy power generation. Then, considering the coupling relationship of carbon market, electricity market and green card market, the income model of new energy power stations is constructed. Furthermore, the price mechanism under incomplete competition based on Bayesian game and the price mechanism under perfect competition based on bargaining game are designed. Then, the price of the designed mechanism is adjusted combined with the cost sharing of ancillary services. Finally, an example is given to verify the effectiveness of the model.