Scholarlink

<p>Aiming at the problems in the existing electricity-carbon trading mechanism that the fixed carbon price cannot reflect the actual emission behavior and the benefit distribution of microgrid (MG) collaboration is not specific, a win–win game strategy for electricity-carbon peer-to-peer (P2P) trading based on carbon-aware carbon price is proposed. Firstly, a carbon-aware carbon trading mechanism was established based on the carbon emission flow theory, using the carbon intensity of nodes to perceive the carbon trading price. Secondly, an electricity-carbon resource sharing method is established based on asymmetric Nash cooperative game. The electricity-carbon P2P sharing price is established among microgrids through Nash bargaining to reduce operating costs and achieve win–win game results. At the same time, the reliance on centralized energy supply is reduced through distributed decision-making to achieve system-level decentralization. Finally, it is solved through diagonal quadratic approximation (DQA) and the alternating direction method of multipliers (ADMM) algorithm. Simulation was conducted on the improved IEEE 33-node system. The results show that the strategy proposed in this paper reduces the carbon trading costs of each microgrid by 4.41, 30.71, and 7.65%, respectively, and reduces the operating costs by 9.57, 64.20, and 10.60%, respectively.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A game for win–win strategy of electricity-carbon P2P trading with carbon certification price

  • 期刊论文

  • 发表日期：

    2025年12月16日

查看全文
  • Heng Meng,
  • Tao Zhang

摘要

Aiming at the problems in the existing electricity-carbon trading mechanism that the fixed carbon price cannot reflect the actual emission behavior and the benefit distribution of microgrid (MG) collaboration is not specific, a win–win game strategy for electricity-carbon peer-to-peer (P2P) trading based on carbon-aware carbon price is proposed. Firstly, a carbon-aware carbon trading mechanism was established based on the carbon emission flow theory, using the carbon intensity of nodes to perceive the carbon trading price. Secondly, an electricity-carbon resource sharing method is established based on asymmetric Nash cooperative game. The electricity-carbon P2P sharing price is established among microgrids through Nash bargaining to reduce operating costs and achieve win–win game results. At the same time, the reliance on centralized energy supply is reduced through distributed decision-making to achieve system-level decentralization. Finally, it is solved through diagonal quadratic approximation (DQA) and the alternating direction method of multipliers (ADMM) algorithm. Simulation was conducted on the improved IEEE 33-node system. The results show that the strategy proposed in this paper reduces the carbon trading costs of each microgrid by 4.41, 30.71, and 7.65%, respectively, and reduces the operating costs by 9.57, 64.20, and 10.60%, respectively.