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A profit sharing scheme for distributed energy resources integrated into a virtual power plant

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  • Rahmani-Dabbagh, Saeed
  • Sheikh-El-Eslami, Mohammad Kazem

Abstract

Independent owners of distributed energy resources (DERs) can be integrated to form a coalition in order to trade in either retail markets (under predetermined tariffs) or wholesale markets using the virtual power plant (VPP) concept. The consequent coordinated operation of DERs entails a surplus profit in respect to the summation of their individual profits. In this paper, the reasons behind such a surplus profit are evaluated. The transactions virtually taken place inside the coalition are defined, classified and priced in order to provide a profit sharing scheme for the integrated DERs. The VPP dispatching center can implement this scheme for trading in both energy and reserve markets, as well as under both dual and single pricing systems in the balancing (real-time) market. This study shows that how the amount and price of the internal transactions in each class, and as a result, the allocated profits depend on the difference between sale and purchase prices in real-time and the risk-aversion level of DERs facing the uncertainties. The proposed framework is compared with the existing cooperative Game theory-based methods. The comparison shows that it has a much lower computational burden. It is also more comprehensible and more acceptable to DER owners.

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  • Rahmani-Dabbagh, Saeed & Sheikh-El-Eslami, Mohammad Kazem, 2016. "A profit sharing scheme for distributed energy resources integrated into a virtual power plant," Applied Energy, Elsevier, vol. 184(C), pages 313-328.
  • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:313-328
    DOI: 10.1016/j.apenergy.2016.10.022
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    8. Li, Jinghua & Lu, Bo & Wang, Zhibang & Zhu, Mengshu, 2021. "Bi-level optimal planning model for energy storage systems in a virtual power plant," Renewable Energy, Elsevier, vol. 165(P2), pages 77-95.
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    14. Yu, Songyuan & Fang, Fang & Liu, Yajuan & Liu, Jizhen, 2019. "Uncertainties of virtual power plant: Problems and countermeasures," Applied Energy, Elsevier, vol. 239(C), pages 454-470.
    15. Sun, Xiaotian & Xie, Haipeng & Qiu, Dawei & Xiao, Yunpeng & Bie, Zhaohong & Strbac, Goran, 2023. "Decentralized frequency regulation service provision for virtual power plants: A best response potential game approach," Applied Energy, Elsevier, vol. 352(C).
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    18. Liu, Jia-Cai & Sheu, Jiuh-Biing & Li, Deng-Feng & Dai, Yong-Wu, 2021. "Collaborative profit allocation schemes for logistics enterprise coalitions with incomplete information," Omega, Elsevier, vol. 101(C).
    19. Wafa Nafkha-Tayari & Seifeddine Ben Elghali & Ehsan Heydarian-Forushani & Mohamed Benbouzid, 2022. "Virtual Power Plants Optimization Issue: A Comprehensive Review on Methods, Solutions, and Prospects," Energies, MDPI, vol. 15(10), pages 1-20, May.

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