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Research on Trading Optimization Model of Virtual Power Plant in Medium- and Long-Term Market

Author

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  • Yungao Wu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Department of Mathematics and Computer Engineering, Ordos Institute of Technology, Ordos 017000, China)

  • Jing Wu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Gejirifu De

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

In the medium- and long-term market, the power generation side and the power purchase side ensure to avoid the fluctuation of delivery prices through the medium- and long-term power contract, to avoid some market risks. This paper combines virtual power plants to aggregate distributed renewable energy to participate in market transactions. Firstly, this paper analyzes the two operation modes of power markets and combs the transaction varieties and modes in the medium- and long-term market. Secondly, the common contract power decomposition methods in the medium- and long-term market are analyzed, and the revenue model of virtual power plants is established. Then, combined with the renewable energy quota system and the green certificate trading mechanism, this paper constructs an optimization model of medium- and long-term contract trading of virtual power plants considering renewable energy derivatives. Finally, different renewable energy output scenarios are designed to analyze the benefits of virtual power plants in centralized and decentralized power markets. The example analysis shows the effectiveness of price difference contract for virtual power plants to ensure the renewable power revenue, which provides a certain reference for virtual power plants to participate in the power market.

Suggested Citation

  • Yungao Wu & Jing Wu & Gejirifu De, 2022. "Research on Trading Optimization Model of Virtual Power Plant in Medium- and Long-Term Market," Energies, MDPI, vol. 15(3), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:759-:d:729658
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    References listed on IDEAS

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    1. So-Hyeon Jo & Joo Woo & Gi-Sig Byun & Jae-Hoon Jeong & Heon Jeong, 2021. "Study on the Integral Compensator Using Supercapacitor for Energy Harvesting in Low-Power Sections of Solar Energy," Energies, MDPI, vol. 14(8), pages 1-13, April.
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    Cited by:

    1. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).

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