Optimal Operation Strategy of Community Integrated Energy System Based on a Two-level Game

Abstract

With the gradual transformation of the integrated energy system to intelligence and decentralization, users with distributed generation gradually replace traditional users. To realize the rationality of multi-agent power transactions in a community-integrated energy system and improve the income of each subject in the system, this paper presents the optimal operation strategy of a community-integrated energy system based on the two-level game. The first layer is a cooperative game between energy communities, which can promote the consumption of new energy in communities. The second layer is a master-slave game between operators and communities, which can promote effective interaction between the upper and lower levels. By using the Karush-Kuhn-Tucker condition, the two-layer model is transformed into a single-layer model and uses McCormick to relax the model. The example verifies that the trading strategy proposed in this paper can effectively improve the benefits of each energy community.