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A multi-agent distributed electricity-carbon shared trading strategy considering regional carbon inclusion

Author

Listed:
  • Zhang, Yue
  • Wu, Qiong
  • Ren, Hongbo
  • Li, Qifen
  • Zhou, Weisheng

Abstract

To achieve low-carbon economic dispatch within the regional integrated energy system and fully exploit the carbon assets of multiple agents, a combined peer-to-peer (P2P) and platform-based trading mechanism for electricity-carbon trading is constructed. Furthermore, an operational strategy is proposed considering distributed electricity-carbon trading among these multiple agents. Additionally, a carbon asset management service platform is introduced to develop carbon inclusion assets within a park and to facilitate carbon trading among various agents. Based on the surplus/shortage information of carbon emission amounts reported by various agents, the trading price within the park is formulated. Following which, a Nash bargaining model is developed based on the P2P electricity trading among multiple agents. The alternating direction method of multipliers (ADMM) algorithm is employed for a distributed solution, ensuring the information privacy of each agent. According to the simulation results of a numerical study, shared electricity trading enhances the interaction among multiple agents, fostering local consumption of renewable energy and reducing overall carbon emissions. Compared to the baseline scenario, the proposed trading strategy achieves a 6.76 % reduction in total cost and a 14.74 % reduction in carbon emissions, effectively unlocking the resource sharing and carbon reduction potential within the park. Moreover, the involvement of a third party platform significantly facilitates the local carbon trading process.

Suggested Citation

  • Zhang, Yue & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2025. "A multi-agent distributed electricity-carbon shared trading strategy considering regional carbon inclusion," Renewable Energy, Elsevier, vol. 239(C).
    • Handle: RePEc:eee:renene:v:239:y:2025:i:c:s0960148124021438
    DOI: 10.1016/j.renene.2024.122075
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    1. Zhou, Kaile & Ma, Chaojie & Chu, Yibo, 2025. "Peer-to-peer joint electricity and carbon trading model for urban virtual power plants considering the cooperative behavior of prosumers," Renewable Energy, Elsevier, vol. 255(C).

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