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A cooperative transactive multi-carrier energy control mechanism with P2P energy + reserve trading using Nash bargaining game theory under renewables uncertainty

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  • Alizadeh, Ali
  • Esfahani, Moein
  • Dinar, Farid
  • Kamwa, Innocent
  • Moeini, Ali
  • Mohseni-Bonab, Seyed Masoud
  • Busvelle, Eric

Abstract

Transactive Energy Control (TEC) as a market-based control is a critical notion for scheduling Multi-Carrier Energy Systems (MCESs) in local networks and forming an Energy Hub (EH). Nevertheless, implementing TEC for scheduling and controlling MCESs is extremely difficult due to the lack of a cooperative TEC model that accounts for network constraints and the uncertainty of Renewable Energy Sources (RESs). This paper defines and formulates Prosumer-Based Multi-Carrier Energy Systems (PB-MCESs), which include electricity, heat, cooling, and gas hubs to enable internal coordination of resources and flexibility extraction for PB-MCESs. Subsequently, Nash Bargaining Game Theory is employed to construct a cooperative TEC that prioritizes P2P energy trade. In addition to P2P energy trading, PB-MCESs can trade their reserve in a P2P fashion to mitigate their uncertainty. PB-MCESs estimate the level of uncertainty using stochastic programming and allot a reserve capacity based on this estimation in order to manage their uncertainty via P2P reserve trading and internal reserves. PB-MCES can also control their risk by altering their risk-taking factor in accordance with the Conditional Value-at-Risk (CVAR) index. Implementations have demonstrated that the proposed cooperative TEC decreases total costs by 17.14% and that the proposed P2P reserve trading reduces total costs by 16.32%.

Suggested Citation

  • Alizadeh, Ali & Esfahani, Moein & Dinar, Farid & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud & Busvelle, Eric, 2024. "A cooperative transactive multi-carrier energy control mechanism with P2P energy + reserve trading using Nash bargaining game theory under renewables uncertainty," Applied Energy, Elsevier, vol. 353(PB).
    • Handle: RePEc:eee:appene:v:353:y:2024:i:pb:s030626192301526x
    DOI: 10.1016/j.apenergy.2023.122162
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    References listed on IDEAS

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    3. Esfahani, Moein & Alizadeh, Ali & Cao, Bo & Kamwa, Innocent & Xu, Minghui, 2025. "Virtual power plant formation strategy based on Stackelberg game: A three-step data-driven voltage regulation coordination scheme," Applied Energy, Elsevier, vol. 377(PA).
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    5. Chen, Yuzhu & Guo, Weimin & Du, Na & Yang, Kun & Wang, Jiangjiang, 2024. "Master slave game-based optimization of an off-grid combined cooling and power system coupled with solar thermal and photovoltaics considering carbon cost allocation," Renewable Energy, Elsevier, vol. 229(C).
    6. Bożena Gajdzik & Magdalena Jaciow & Radosław Wolniak & Robert Wolny & Wieslaw Wes Grebski, 2024. "Diagnosis of the Development of Energy Cooperatives in Poland—A Case Study of a Renewable Energy Cooperative in the Upper Silesian Region," Energies, MDPI, vol. 17(3), pages 1-27, January.
    7. Barone, G. & Buonomano, A. & Cipolla, G. & Forzano, C. & Giuzio, G.F. & Russo, G., 2024. "Designing aggregation criteria for end-users integration in energy communities: Energy and economic optimisation based on hybrid neural networks models," Applied Energy, Elsevier, vol. 371(C).
    8. Faraji, Jamal & Allard, Julien & Vallée, François & De Grève, Zacharie, 2025. "On the limited observability of energy community members: An uncertainty-aware near-optimal bilevel programming approach," Applied Energy, Elsevier, vol. 381(C).
    9. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    10. Mokaramian, E. & Shayeghi, H. & Younesi, A. & Shafie-khah, M. & Siano, P., 2025. "Energy hubs components and operation: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    11. Wu, Biao & Zhang, Shaohua & Yuan, Chenxin & Wang, Xian & Wang, Fei & Zhang, Shengqi, 2024. "Cooperative energy and reserve trading strategies for multiple integrated energy systems based on asymmetric nash bargaining theory," Energy, Elsevier, vol. 313(C).
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