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Determining the pricing and deployment strategy for virtual power plants of peer-to-peer prosumers: A game-theoretic approach

Author

Listed:
  • Zeng, Yu
  • Wei, Xuan
  • Yao, Yuan
  • Xu, Yinliang
  • Sun, Hongbin
  • Kin Victor Chan, Wai
  • Feng, Wei

Abstract

Aiming to deal with the fundamental transition of power networks and efficiently achieve sustainable development in the energy sector, virtual power plants for peer-to-peer (P2P) energy transactions among prosumers have been encouraged around the world. Successful implementation of P2P-based virtual power plants (P2PVPPs) requires a pricing and deployment strategy to charge for energy sharing services with the prosumers. In this study, we propose a two-stage game model to guide the pricing and deployment strategy for P2PVPPs to charge for sharing services with the prosumers, where the preferences of prosumers on the selection of their P2PVPPs are characterized using a Hotelling model. Moreover, we provide a numerical example to determine the optimal pricing and deployment strategy for the P2PVPPs, and a sensitivity analysis is conducted to demonstrate how relevant influential factors, which are presented in the model, can affect the P2PVPP operators’ profit and corresponding optimal prices, i.e., subscription fees, for prosumers, which includes buyers and sellers. The results indicate that the two-part tariffs have a more significant effect than subscription fees for P2PVPPs’ development and appropriately raising the per-transaction charge for prosumers in the two-part tariffs can help improve the effect of two-part tariffs to more effectively promote the development of P2PVPPs. While high per-agent serving costs for prosumers, including both buyers and sellers, and the generation-demand difference (GDD) level of sellers are not conducive to the development of P2PVPP, increasing the per-transaction charge for prosumers, promoting technological progress and improving the degree of product differentiation can help P2PVPP implementation.

Suggested Citation

  • Zeng, Yu & Wei, Xuan & Yao, Yuan & Xu, Yinliang & Sun, Hongbin & Kin Victor Chan, Wai & Feng, Wei, 2023. "Determining the pricing and deployment strategy for virtual power plants of peer-to-peer prosumers: A game-theoretic approach," Applied Energy, Elsevier, vol. 345(C).
    • Handle: RePEc:eee:appene:v:345:y:2023:i:c:s0306261923007134
    DOI: 10.1016/j.apenergy.2023.121349
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