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

Authors :
CHEN Yong
RUI Jun
XIAO Leiming
DENG Chao
Source :
Zhejiang dianli, Vol 43, Iss 4, Pp 51-62 (2024)
Publication Year :
2024
Publisher :
zhejiang electric power, 2024.

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.

Details

Language :
Chinese
ISSN :
10071881
Volume :
43
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Zhejiang dianli
Publication Type :
Academic Journal
Accession number :
edsdoj.0f1bc7d52aa94b3ea5efd96063693d61
Document Type :
article
Full Text :
https://doi.org/10.19585/j.zjdl.202404006