Zhejiang dianli (Apr 2024)

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

  • CHEN Yong,
  • RUI Jun,
  • XIAO Leiming,
  • DENG Chao

DOI
https://doi.org/10.19585/j.zjdl.202404006
Journal volume & issue
Vol. 43, no. 4
pp. 51 – 62

Abstract

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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