Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives

Day-ahead electricity auctions allow market participants to trade power for delivery the following day. In Europe, these auctions are designed as combinatorial auctions, enabling agents to submit package bids (“block bids”) that span multiple time periods rather than bidding separately for each hour. However, power exchanges impose limits on the number of package bids an agent can submit, creating a complex decision problem: Which packages should an agent bid on to best represent their preferences? In “Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives,” Hübner and Hug study this selection problem and propose decision-support algorithms that optimize bid choice under uncertainty. They provide theoretical bounds on welfare loss due to bid limits and validate their methods with simulations involving generators, storage systems, and flexible demand. Their findings offer actionable insights for both auctioneers and bidders.

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Publication Details

Journal
Operations Research
Published
2025-08-22
DOI
https://doi.org/10.1287/opre.2024.0777
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives

Gabriela Hug, Thomas Hübner
Operations Research
Auction Theory and Applications
article

Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives

Gabriela Hug, Thomas Hübner
article en

Abstract

Day-ahead electricity auctions allow market participants to trade power for delivery the following day. In Europe, these auctions are designed as combinatorial auctions, enabling agents to submit package bids (“block bids”) that span multiple time periods rather than bidding separately for each hour. However, power exchanges impose limits on the number of package bids an agent can submit, creating a complex decision problem: Which packages should an agent bid on to best represent their preferences? In “Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives,” Hübner and Hug study this selection problem and propose decision-support algorithms that optimize bid choice under uncertainty. They provide theoretical bounds on welfare loss due to bid limits and validate their methods with simulations involving generators, storage systems, and flexible demand. Their findings offer actionable insights for both auctioneers and bidders.

Operations ResearchVol. 74(1)
ETH Zurich (CH)
Openalex Percentile: Top 74%
Auction Theory and Applications
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