Towards Optimal Demand-Side Bidding in Parallel Auctions for Time-Shiftable Electrical Loads

Conference Paper (2020)
Author(s)

R. Saur (TU Delft - Intelligent Electrical Power Grids, Centrum Wiskunde & Informatica (CWI))

Han La Poutré (TU Delft - Intelligent Electrical Power Grids, Centrum Wiskunde & Informatica (CWI))

N. Yorke-Smith (TU Delft - Algorithmics)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2020 R. Saur, J.A. la Poutré, N. Yorke-Smith
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 R. Saur, J.A. la Poutré, N. Yorke-Smith
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
340-347
ISBN (print)
978-1-7281-4965-3
ISBN (electronic)
978-1-7281-4964-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Increasing electricity production from renewable energy sources has, by its fluctuating nature, created the need for more flexible demand side management. How to integrate flexible demand in the electricity system is an open research question. We consider the case of procuring the energy needs of a time-shiftable load through a set of simultaneous second price auctions. We derive a required condition for optimal bidding strategies. We then show the following results and bidding strategies under different market assumptions. For identical uniform auctions and multiple units of demand, we show that the global optimal strategy is to bid uniformly across all auctions. For non-identical auctions and multiple units, we provide a way to find solutions through a recursive approach and a non-linear solver. We show that our approach outperforms the literature under higher uncertainty conditions.

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