Research on dynamic pricing strategy of electricity retailers considering renewable energy quota system

Under the goal of "double carbon", the new power system and power market mechanism with clean energy as the main body are accelerating to form. With the gradual advancement of China's new round of power system reform, electricity retailer has become an indispensable role in power trading. While the power purchase and sales business is carried out, electricity retailers and users also bear the responsibility of renewable energy quota. In this paper, considering the renewable energy quota system and aiming at maximizing the revenue of electricity, a flexible pricing model of electricity retailers considering the response of user demand side is established. Through the wind power purchase as the method of quota implementation, the objective function is optimized by chaotic particle swarm optimization algorithm, so as to obtain the best revenue of electricity retailers. The simulation results of an example verify the effectiveness and feasibility of the model, which has a certain guiding significance for the power purchase and sales strategy of electricity retailers.