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Virtual Power Plant Bidding Strategies in Pay-as-Bid and Pay-as-Clear Markets: Analysis of Imbalance Penalties and Market Operations

Author

Listed:
  • Youngkook Song

    (Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)

  • Yeonouk Chu

    (Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)

  • Yongtae Yoon

    (Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)

  • Younggyu Jin

    (Power System Economics Laboratory, Department of Electrical Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju 62343, Republic of Korea)

Abstract

The transition towards renewable energy has increased the importance of virtual power plants (VPPs) in integrating distributed energy resources (DERs). However, questions remain regarding the most appropriate auction mechanisms (pay-as-bid (PAB) versus pay-as-clear (PAC)) and imbalance penalty structures, which significantly influence VPP bidding strategies and market operations. This study employs a three-stage stochastic programming model to evaluate VPP bidding behaviors under these auction mechanisms while also considering the effects of imbalance penalty structures. By simulating various market scenarios, the results reveal that PAC markets offer higher VPP revenues due to settlement at the market-clearing price; they also exhibit greater volatility and elevated imbalance penalties. For instance, power deviations in PAC markets were 52.60% higher than in PAB markets under specific penalty structures, and imbalance penalty cost ranges differed by up to 82.32%. In contrast, PAB markets foster stable, stepwise bidding strategies that minimize imbalance penalties and improve renewable energy utilization, particularly during high- and moderate-generation periods. The findings emphasize the advantages of the PAB mechanism in electricity markets with substantial renewable energy integration, providing significant insights for the design of auction mechanisms that facilitate reliable and sustainable market operations.

Suggested Citation

  • Youngkook Song & Yeonouk Chu & Yongtae Yoon & Younggyu Jin, 2025. "Virtual Power Plant Bidding Strategies in Pay-as-Bid and Pay-as-Clear Markets: Analysis of Imbalance Penalties and Market Operations," Energies, MDPI, vol. 18(6), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1383-:d:1609895
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    References listed on IDEAS

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