A carbon trading method for integrated energy systems based on a dynamic master-slave game model

Abstract

To enhance the interaction among multiple agents in carbon trading mechanisms， a leader-follower game method is proposed， with carbon trading JMO （joint market operator） as the leader and multiple IES （integrated energy systems） as followers. This method aims to achieve low-carbon economic operation for different IES. Firstly， under the tiered penalty mechanism for carbon emission， the operational benefits of various agents’ IES are modeled and analyzed. A dual-mode operation strategy for IES， which includes options for low carbon emission and low cost， is proposed. Secondly， based on the dynamic non-cooperative Stackelberg game optimization framework， a carbon trading model involving multiple agents is established according to the operational modes of each agent. Finally， the decision-making model of the leader-follower game is solved using both adaptive differential evolution （DE） algorithm and the Gurobi optimizer. Case analysis results demonstrate that this carbon trading mechanism can effectively achieve both low-carbon and economic operation for IES.

Keywords

• low carbon
• ies
• carbon emission
• carbon trading
• dynamic non-cooperative stackelberg game