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Nash bargaining based integrated energy agent optimal operation strategy considering negotiation pricing for tradable green certificate

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  • Meng, Yuxiang
  • Ma, Gang
  • Yao, Yunting
  • Li, Hao

Abstract

Reasonable tradable green certificate (TGC) price is the key to guiding the orderly transaction of market agents. However, there is little literature on the negotiation pricing of green certificates, especially the multi-agent cooperation optimization operation strategy for green certificate negotiation. To improve the enthusiasm for TGC transactions and the low-carbon economy of the system, this paper studies TGC negotiation and cooperative operation among multi-agents of integrated energy. Firstly, under the influence of the supply and demand relationship and renewable energy generation cost on TGC price, a variable TGC price limit model is constructed. Secondly, the TGC-carbon emissions transaction (CET) interaction mechanism is introduced to the endogenous motivation for TGC transactions. Then, a Nash bargaining theory is used to establish an integrated energy multi-agent cooperative game model based on TGC negotiation pricing. Finally, the non-convex nonlinear model is transformed into a subproblem of distributed solution by ADMM principle, and the AS-ADMM algorithm is used to solve it. The example shows that the model proposed in this paper effectively promotes the transaction volume of green certificates between the agents. Compared with the non-cooperative situation, the transaction volume increased by 20.83%, indicating that the agent's enthusiasm for TGC transactions was improved, and the number of transactions exceeded their liability quotas.

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  • Meng, Yuxiang & Ma, Gang & Yao, Yunting & Li, Hao, 2024. "Nash bargaining based integrated energy agent optimal operation strategy considering negotiation pricing for tradable green certificate," Applied Energy, Elsevier, vol. 356(C).
    • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017919
    DOI: 10.1016/j.apenergy.2023.122427
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    References listed on IDEAS

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    1. Guori Huang & Zheng Chen & Nan Shang & Xiaoyue Hu & Chen Wang & Huan Wen & Zhiliang Liu, 2024. "Do Tradable Green Certificates Promote Regional Carbon Emissions Reduction for Sustainable Development? Evidence from China," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    2. Wanting Yu & Xin Zhang & Mingli Cui & Tiantian Feng, 2024. "Construction and Application of the Double Game Model for Direct Purchase of Electricity by Large Consumers under Consideration of Risk Factors," Energies, MDPI, vol. 17(8), pages 1-24, April.
    3. Zeng, Lijun & Du, Wenjing & Zhao, Laijun & Chen, Shuai, 2024. "An inter-provincial coordinate model under Renewable Portfolio Standards policy based on tradable green certificate options trading," Renewable Energy, Elsevier, vol. 234(C).
    4. Liu, Zhi-Feng & Luo, Xing-Fu & Chen, Xiao-Rui & Huang, Ya-He & Liu, You-Yuan & Tang, Yu & Kang, Qing & Guo, Liang, 2024. "An innovative bi-level scheduling model with hydrogen-thermal-electricity co-supply and dynamic carbon capture strategies for regional integrated energy systems considering hybrid games," Renewable Energy, Elsevier, vol. 237(PB).
    5. Ding, Bing & Li, Zening & Li, Zhengmao & Xue, Yixun & Chang, Xinyue & Su, Jia & Jin, Xiaolong & Sun, Hongbin, 2024. "A CCP-based distributed cooperative operation strategy for multi-agent energy systems integrated with wind, solar, and buildings," Applied Energy, Elsevier, vol. 365(C).
    6. Hua, Haochen & Du, Can & Chen, Xingying & Kong, Hui & Li, Kang & Liu, Zhao & Naidoo, Pathmanathan & Lv, Mian & Hu, Nan & Fu, Ming & Li, Bing, 2024. "Optimal dispatch of multiple interconnected-integrated energy systems considering multi-energy interaction and aggregated demand response for multiple stakeholders," Applied Energy, Elsevier, vol. 376(PA).

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