Investigating the Bidding Strategy of Loaded Virtual Power Plant While Considering Multiple Demand Response Resources

In recent years, in response to national policies, the traditional power system has gradually evolved to the new power system in order to achieve low-carbon power generation. System operators, loaded virtual power plant and end users are the three main players in the current power market. However, most current studies take demand response as a constraint, and rarely take loaded virtual power plant as the main body. This will lead to the failure to integrate the user's demand response resources to participate in the electricity market bidding, so as to provide a feasible demand response scheme for each individual user. This paper takes the loaded virtual power plant as the main body, adopts the layered bidding strategy, establishes the demand response model of the loaded virtual power plant and the response contract to participate in the day-ahead market bidding, and uses the simulation to solve the mixed integer linear programming model, so as to obtain the optimal allocation scheme.