Low-carbon economic distributed dispatch for district-level integrated energy system considering privacy protection and demand response

Ting Yang, Qiancheng Wang, Xudong Wang, Lin Wang and Yinan Geng

Applied Energy, 2025, vol. 383, issue C, No S0306261925001199

Abstract: With transforming the energy market to a multi-agent interactive competition structure, the district-level integrated energy system (DLIES) faces the challenges of privacy, low carbon, and economic dispatch. This paper proposes a low-carbon economic distributed dispatch method for DLIES considering privacy protection and demand response. A bi-level leader–follower game model is established to ensure the optimal interaction strategy. The integrated energy service provider is the upper-level leader, and the energy hub operator and load aggregator are the lower-level followers. Then, the reward-penalty continuous carbon trading model and demand response model are proposed to guide DLIES low-carbon scheduling. Furthermore, the bi-level game model is transformed into a tractable single-level problem using optimization theory and linearization technique to reduce the complexity, and solved by a distributed iterative algorithm. Each agent only exchanges marginal information, avoiding information exposure. Finally, different scale case analyses indicate that the proposed method can effectively enhance the low-carbon economic performance of DLIES. In different scenarios, the implementation effects of the proposed method and the generic technologies are compared, and the scalability in large-scale complex energy systems is proved.

Keywords: Distributed dispatch; District-level integrated energy system; Game theory; Carbon emission quota trading; Low-carbon demand response; Carbon emission flow (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925001199
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:383:y:2025:i:c:s0306261925001199

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.125389

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().