A Day-Ahead Bidding Strategy with VPPO as the Core of Overall Deployment

When virtual power plants considering the interests of multiple subjects participate in the external energy market and peak regulation market, the virtual power plant operator is a platform for internal and external interaction. Based on the three-tier interactive framework of virtual power plant operators leading internal multi-agent coordination and participation in the day-ahead electricity market, in order to improve the economic benefits of virtual power plant operators, realize the full call of internal flexible resources, increase the overall external reliability and credibility of virtual power plants, and flexibly respond to the peak shaving requirements of the system, this paper proposes a day-ahead bidding strategy with virtual power plant operators as the core. On the basis of considering the interests and operating characteristics of each participant, the virtual power plant operators integrate internal and external information and resources, and consider the power allocation as a whole. Through the two-layer model of the price-quantity master-slave game, the relationship between the virtual power plant operator and the internal participants is established, and the particle swarm optimization algorithm and the interior point method are used to solve the problem. Finally, the effectiveness and rationality of the proposed strategy are verified by an example analysis.