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Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion

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  • Zhang, Heng
  • Zhang, Shenxi
  • Hu, Xiao
  • Cheng, Haozhong
  • Gu, Qingfa
  • Du, Mengke

Abstract

A peer-to-peer energy trading framework of buildings considering multi-energy coupling is presented in this study to improve energy efficiency and achieve cost savings. Microsources, such as photovoltaic and micro-combined heat and power, are used to meet electricity and heating demands, while the problem of unbalanced power is solved via the main grid and other peers through peer-to-peer energy trading. All peers aim to maximize their revenue and create trading strategies (i.e., trading period and volume) based on the time-of-use tariff released by the main grid. The trading model established by each peer is a parametric optimization-based problem because each peer must consider the trading willingness of other peers when formulating strategies. A new mixed-integer linear programming problem to maximize total profit can be finally formulated to obtain an equilibrium solution that satisfies all peers. Results show that the proposed peer-to-peer transaction approach can reduce energy bills of buildings. Daily purchased electricity from the main grid decreases by 8.9% through peer-to-peer energy trading between different buildings. In addition, compared with the building peer-to-peer transaction that only considers electricity energy management, the amount of purchased electricity from the main network can be reduced by 4.2% a day when multi-energy coupling is considered in peer-to-peer.

Suggested Citation

  • Zhang, Heng & Zhang, Shenxi & Hu, Xiao & Cheng, Haozhong & Gu, Qingfa & Du, Mengke, 2022. "Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion," Applied Energy, Elsevier, vol. 306(PB).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013350
    DOI: 10.1016/j.apenergy.2021.118040
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    References listed on IDEAS

    as
    1. Alam, Muhammad Raisul & St-Hilaire, Marc & Kunz, Thomas, 2019. "Peer-to-peer energy trading among smart homes," Applied Energy, Elsevier, vol. 238(C), pages 1434-1443.
    2. RUIZ, Carlos & CONEJO, Antonio J. & SMEERS, Yves, 2012. "Equilibria in an oligopolistic electricity pool with stepwise offer curves," LIDAM Reprints CORE 2395, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Morstyn, Thomas & McCulloch, Malcolm D. & Poor, H. Vincent & Wood, Kristin L., 2019. "A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid," Applied Energy, Elsevier, vol. 243(C), pages 10-20.
    4. Langer, Lissy & Volling, Thomas, 2020. "An optimal home energy management system for modulating heat pumps and photovoltaic systems," Applied Energy, Elsevier, vol. 278(C).
    5. Kazemdehdashti, A. & Mohammadi, M. & Seifi, A.R. & Rastegar, M., 2020. "Stochastic energy management in multi-carrier residential energy systems," Energy, Elsevier, vol. 202(C).
    6. Yousefi, Mojtaba & Hajizadeh, Amin & Soltani, Mohsen N. & Hredzak, Branislav & Kianpoor, Nasrin, 2020. "Profit assessment of home energy management system for buildings with A-G energy labels," Applied Energy, Elsevier, vol. 277(C).
    7. Mehrjerdi, Hasan, 2020. "Peer-to-peer home energy management incorporating hydrogen storage system and solar generating units," Renewable Energy, Elsevier, vol. 156(C), pages 183-192.
    8. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Coordination of vehicle-to-home and renewable capacity resources for energy management in resilience and self-healing building," Renewable Energy, Elsevier, vol. 146(C), pages 568-579.
    9. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Energy and uncertainty management through domestic demand response in the residential building," Energy, Elsevier, vol. 192(C).
    10. Nguyen, Su & Peng, Wei & Sokolowski, Peter & Alahakoon, Damminda & Yu, Xinghuo, 2018. "Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 228(C), pages 2567-2580.
    11. Ashouri, Milad & Fung, Benjamin C.M. & Haghighat, Fariborz & Yoshino, Hiroshi, 2020. "Systematic approach to provide building occupants with feedback to reduce energy consumption," Energy, Elsevier, vol. 194(C).
    12. Buonomano, Annamaria, 2020. "Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims," Applied Energy, Elsevier, vol. 261(C).
    13. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    14. Yassuda Yamashita, Daniela & Vechiu, Ionel & Gaubert, Jean-Paul, 2021. "Two-level hierarchical model predictive control with an optimised cost function for energy management in building microgrids," Applied Energy, Elsevier, vol. 285(C).
    Full references (including those not matched with items on IDEAS)

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    3. Yap, Kah Yung & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2023. "Blockchain technology for distributed generation: A review of current development, challenges and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    4. Qiu, Dawei & Xue, Juxing & Zhang, Tingqi & Wang, Jianhong & Sun, Mingyang, 2023. "Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading," Applied Energy, Elsevier, vol. 333(C).
    5. Ali Sahebi & Shahram Jadid & Morteza Nazari-Heris, 2023. "Flexibility Analysis for Multi-Energy Microgrid and Distribution System Operator under a Distributed Local Energy Market Framework," Sustainability, MDPI, vol. 15(13), pages 1-23, June.

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