Energy Management Method for Integrated Energy Driven by Users’ Social Attributes

Authors

• Yankai Zhu, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Huairou Laboratory, Beijing 101400, China
• Yujing Huang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Huairou Laboratory, Beijing 101400, China
• Qinghua Wang, Huairou Laboratory, Beijing 101400, China
• Xiaoning Zhang, Huairou Laboratory, Beijing 101400, China
• Fang Fang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
• Yuguang Niu, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; Huairou Laboratory, Beijing 101400, China

Abstract

Abstract: To explore a new interaction mechanism between an energy service provider (ESP) and multiple users, this paper proposes a complex modeling and energy management method for integrated energy systems driven by users' social attributes. A multi-agent interaction framework comprising an ESP and user clusters is established. To maximize the ESP's operational benefit and minimize users' energy costs, a leader-follower game-based energy management model is established within a reinforcement learning framework, and a distributed collaborative solution algorithm combining Q-learning and quadratic programming is proposed. Simulation results show that, compared with the traditional integrated demand response method, consideration of users' social attributes increases the ESP's operational benefit by 10.79%, reduces the total operating costs of user clusters I and II by 6.98% and 0.36%, respectively, and decreases system carbon emissions by 5.05%. The algorithm also achieves a good balance between convergence accuracy and computational efficiency.

Recommended Citation

Zhu, Yankai; Huang, Yujing; Wang, Qinghua; Zhang, Xiaoning; Fang, Fang; and Niu, Yuguang (2026) "Energy Management Method for Integrated Energy Driven by Users’ Social Attributes," Journal of System Simulation: Vol. 38: Iss. 8, Article 3.
DOI: 10.16182/j.issn1004731x.joss.26-0057
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss8/3

First Page

2152

Last Page

2166

CLC

TP391

Recommended Citation

Zhu Yankai, Huang Yujing, Wang Qinghua, et al. Energy Management Method for Integrated Energy Driven by Users' Social Attributes[J]. Journal of System Simulation, 2026, 38(8): 2152-2166.

Corresponding Author

Huang Yujing

DOI

10.16182/j.issn1004731x.joss.26-0057