Decentralized Energy Market Integrating Carbon Allowance Trade and Uncertainty Balance in Energy Communities
Yuanxi Wu, Zhi Wu, Wei Gu, Zheng Xu, Shu Zheng, Qirun Sun

TL;DR
This paper proposes a decentralized energy market model that integrates carbon allowance trading and uncertainty management within energy communities, promoting carbon neutrality and efficient market clearing.
Contribution
It introduces a novel joint trading framework combining peer-to-peer energy trading with carbon allowance sharing and uncertainty hedging, solved via a decentralized optimization method.
Findings
Effective market clearing validated by numerical results
Successful integration of carbon trading with energy exchange
Decentralized solution approach enhances scalability and privacy
Abstract
With the sustained attention on carbon neutrality, the personal carbon trading (PCT) scheme has been embraced as an auspicious paradigm for scaling down carbon emissions. To facilitate the simultaneous clearance of energy and carbon allowance inside the energy community while hedging against uncertainty, a joint trading framework is proposed in this article. The energy trading is implemented in a peer-to-peer (P2P) manner without the intervention of a central operator, and the uncertainty trading is materialized through procuring reserve of conventional generators and flexibility of users. Under the PCT scheme, carbon allowance is transacted via a sharing mechanism. Possible excessive carbon emissions due to uncertainty balance are tackled by obliging renewable agents to procure sufficient carbon allowances, following the consumption responsibility principle. A two-stage iterative…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Climate Change Policy and Economics · Electric Power System Optimization
MethodsPerceptual control theoretic architecture
