A Carbon Emission Allowance Bargaining Model For Energy Transactions Among Prosumers

Yue Xiang, Guiping Qing, Mengqiu Fang, Zhengmao Li, Haotian Yao, Junyong Liu, Zekun Guo, Jichun Liu, Pingliang Zeng

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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Abstract

The carbon pricing is the main issue of the carbon trading market for enabling cost-effective decarbonization in the energy networks. A nodal carbon pricing model is firstly proposed based on the sharing and integration of the intra-regional carbon emission allowance. In this regard, the game theory is introduced to construct a multi-agent carbon emission allowance bargaining model in this letter. The alternating direction multiplier method is adopted to solve the model considering the competitional burden and privacy-preserving. Numerical results demonstrate that it could significantly reduce the carbon emissions of regional energy networks and improve the economic benefits of prosumers.
Original languageEnglish
Article number10497887
Pages (from-to)6095-6098
Number of pages4
JournalIEEE Transactions on Power Systems
Volume39
Issue number4
DOIs
Publication statusPublished - Jul 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • Artificial neural networks
  • Carbon
  • Carbon dioxide
  • Costs
  • Emissions trading
  • Numerical models
  • Pricing

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