Low-carbon economic dispatch for multi-park integrated energy systems considering electricity-carbon coupling and differentiated demand response

Authors

• Liwei Yang, State Key Laboratory of Disaster Prevention & Reduction for Power Grid ， Changsha University of Science & Technology ， Changsha 410114， China
• Fei Jiang, State Key Laboratory of Disaster Prevention & Reduction for Power Grid ， Changsha University of Science & Technology ， Changsha 410114， ChinaFollow
• Xinhe Zhang, China Electric Power Research Institute Co .， Ltd.， Beijing 100192， China
• Zhenlan Dou, State Grid Shanghai Electric Power Company ， Shanghai 200223， China
• Xiaojia Zhang, State Key Laboratory of Disaster Prevention & Reduction for Power Grid ， Changsha University of Science & Technology ， Changsha 410114， China

Keywords

multi-park carbon trading, differentiated incentive mechanism, multi-park integrated energy system, master-slave game, low-carbon economic dispatch

Abstract

In order to reduce the carbon emissions of park integrated energy systems and to explore the demand response potential of different types of loads, a low-carbon economic dispatch method for multi-park integrated energy systems considering electricity–carbon coupling and differentiated demand response is proposed. Considering the electricity–carbon coupling among different parks and the characteristics of the external carbon trading market, a multi-park carbon trading model with a stepped external carbon trading mechanism is constructed; in view of the differences in energy demands and demand response capabilities of users in different parks, a differentiated demand response model including flexible and adjustable electrical and thermal loads is established. With the joint park operator as the leader, and user load aggregators and energy storage providers as followers, a multi-agent master–slave game mechanism and the decision-making models of each agent are established, and an improved particle swarm parameter optimization algorithm is used to solve the master–slave game model. Based on the example simulation of a multi-park integrated energy system in Hunan Province, the results show that compared with traditional optimal dispatch methods, the proposed optimization strategy reduces the total carbon emissions of the system by 9.31% and improves the total revenue by 21.32%.

DOI

10.19781/j.issn.1673-9140.2026.03.023

First Page

248

Last Page

260

Recommended Citation

Yang, Liwei; Jiang, Fei; Zhang, Xinhe; Dou, Zhenlan; and Zhang, Xiaojia (2026) "Low-carbon economic dispatch for multi-park integrated energy systems considering electricity-carbon coupling and differentiated demand response," Journal of Electric Power Science and Technology: Vol. 41: Iss. 3, Article 23.
DOI: 10.19781/j.issn.1673-9140.2026.03.023
Available at: https://jepst.researchcommons.org/journal/vol41/iss3/23