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Distributed energy trading for an integrated energy system and electric vehicle charging stations: A Nash bargaining game approach

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  • Wang, Yifei
  • Wang, Xiuli
  • Shao, Chengcheng
  • Gong, Naiwei

Abstract

The increasing concerns of energy utilization and climate change have promoted the permeation of various smart energy subsystems on the distribution level, such as integrated energy systems (IESs) and electric vehicle charging stations (EVCSs). These subsystems typically act separately during operation and their transaction values have not yet been well investigated. In this paper, we propose an energy trading model based on the Nash bargaining game to study cooperative benefits between an IES and several EVCSs. The proposed model not only considers individual interests, but also enables the players to fairly benefit from cooperation. In particular, the uncertainties of the market prices, renewable energies and integrated demand response are considered. To ensure that the entire game is computationally tractable, the original problem is decomposed into a major energy trading problem and an additional payment bargaining problem. Furthermore, a distributed algorithm based on modified Benders decomposition is used to overcoming the players’ privacies. The results show the considerable benefits where the costs of the IES may be reduced by 3.89% and the profits associated with the EVCSs may be increased by at least 7.8%. The proposed algorithm is proven to be able to find the optimal global solutions efficiently and accurately.

Suggested Citation

  • Wang, Yifei & Wang, Xiuli & Shao, Chengcheng & Gong, Naiwei, 2020. "Distributed energy trading for an integrated energy system and electric vehicle charging stations: A Nash bargaining game approach," Renewable Energy, Elsevier, vol. 155(C), pages 513-530.
    • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:513-530
    DOI: 10.1016/j.renene.2020.03.006
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    as
    1. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    2. Liu, Jin-peng & Zhang, Teng-xi & Zhu, Jiang & Ma, Tian-nan, 2018. "Allocation optimization of electric vehicle charging station (EVCS) considering with charging satisfaction and distributed renewables integration," Energy, Elsevier, vol. 164(C), pages 560-574.
    3. Wei, F. & Jing, Z.X. & Wu, Peter Z. & Wu, Q.H., 2017. "A Stackelberg game approach for multiple energies trading in integrated energy systems," Applied Energy, Elsevier, vol. 200(C), pages 315-329.
    4. Pacudan, Romeo, 2018. "Feed-in tariff vs incentivized self-consumption: Options for residential solar PV policy in Brunei Darussalam," Renewable Energy, Elsevier, vol. 122(C), pages 362-374.
    5. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    6. Akhtar, Zohaib & Saqib, Muhammad Asghar, 2016. "Microgrids formed by renewable energy integration into power grids pose electrical protection challenges," Renewable Energy, Elsevier, vol. 99(C), pages 148-157.
    7. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    8. Ehsan, Ali & Yang, Qiang, 2019. "State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review," Applied Energy, Elsevier, vol. 239(C), pages 1509-1523.
    9. Mei, Jie & Chen, Chen & Wang, Jianhui & Kirtley, James L., 2019. "Coalitional game theory based local power exchange algorithm for networked microgrids," Applied Energy, Elsevier, vol. 239(C), pages 133-141.
    10. Marzband, Mousa & Azarinejadian, Fatemeh & Savaghebi, Mehdi & Pouresmaeil, Edris & Guerrero, Josep M. & Lightbody, Gordon, 2018. "Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations," Renewable Energy, Elsevier, vol. 126(C), pages 95-106.
    11. Alipour, Manijeh & Zare, Kazem & Seyedi, Heresh, 2018. "A multi-follower bilevel stochastic programming approach for energy management of combined heat and power micro-grids," Energy, Elsevier, vol. 149(C), pages 135-146.
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    14. Panah, Payam Ghaebi & Bornapour, Mosayeb & Hemmati, Reza & Guerrero, Josep M., 2021. "Charging station Stochastic Programming for Hydrogen/Battery Electric Buses using Multi-Criteria Crow Search Algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
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