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With the introduction of the dual carbon target and the withdrawal of the renewable energy sources (RESs) subsidy mechanism, the development of the green electricity market has attracted significant attention. Meanwhile, virtual power plants (VPPs) greatly promote RES utilization by aggregating distributed resources. In this context, this paper proposes an optimal bidding model for VPPs participating in joint spot and green electricity markets to maximize their flexibility value. Firstly, to address RES output uncertainty, a normal distribution-based scenario generation method is adopted to establish the VPP's bidding strategy in both markets. Secondly, after obtaining bidding information from all market participants, a joint clearing mechanism for the spot and green electricity markets is implemented. Finally, the proposed method is validated using a modified IEEE 39-bus system. Simulation results demonstrate that this approach effectively guides VPPs to mitigate risks induced by RES uncertainty while maximizing renewable energy consumption.

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Optimal Bidding Strategy of Virtual Power Plant Considering Uncertainty in Multi-market

  • 会议论文

  • 发表日期：

    2026年

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  • Shanfa Tang,
  • Yun Liu,
  • Lina Liu,
  • Xun Suo

摘要

With the introduction of the dual carbon target and the withdrawal of the renewable energy sources (RESs) subsidy mechanism, the development of the green electricity market has attracted significant attention. Meanwhile, virtual power plants (VPPs) greatly promote RES utilization by aggregating distributed resources. In this context, this paper proposes an optimal bidding model for VPPs participating in joint spot and green electricity markets to maximize their flexibility value. Firstly, to address RES output uncertainty, a normal distribution-based scenario generation method is adopted to establish the VPP's bidding strategy in both markets. Secondly, after obtaining bidding information from all market participants, a joint clearing mechanism for the spot and green electricity markets is implemented. Finally, the proposed method is validated using a modified IEEE 39-bus system. Simulation results demonstrate that this approach effectively guides VPPs to mitigate risks induced by RES uncertainty while maximizing renewable energy consumption.