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Analysis of carbon electricity coupled market modeling method based on carbon credit trading mechanism

Wang, Lei*; Yang, Chenyu*; Xu, Zhilong*; Yuan, Guilin; Tang, Liang; Bai, Yunlong; Wang, Xuli
Science Citation Index Expanded
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摘要

Due to the increasing problems of global warming and the gradual depletion of non-renewable energy sources, how to achieve low-carbon energy transition has become the focus of the entire energy industry. The article combines the policies related to carbon emission quotas and certified emission reductions in China, and designs a carbon credit trading mechanism that takes into account the synergy between electricity trading and carbon trading, based on which a carbon and electricity coupling market model is established with a carbon credit trading center as the core. Firstly, the carbon credit trading rules are prospectively formulated for the new power system, which connects power suppliers and power load users to form a diversified organic whole; secondly, the carbon credit management center is built with blockchain technology, which aims to shape the power spot market, power futures market and carbon trading market into a composite coupling, forming a new carbon and power coupled market with the carbon credit management center as the core, and the business interconnection and synergistic clearing of each market. Finally, a new carbon market model with carbon credit mechanism is established, and the components of nodal electricity prices are explored to quantify the impact of introducing carbon credit constraints on nodal marginal electricity prices. The results of the algorithm analyze the economic efficiency and social welfare of the electricity suppliers and load users, illustrate the necessity of introducing the carbon credit trading mechanism, and analyze the impact of the high proportion of renewable energy access on the carbon electricity coupling market.

关键词

Carbon credit trading mechanism Blockchain technology Carbon electricity coupled market Carbon allowances Market clearing