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

Conference Paper (2020)
Author(s)

Roland Saur (TU Delft - Electrical Engineering, Mathematics and Computer Science, Centrum Wiskunde & Informatica (CWI))

Han la Poutré (TU Delft - Electrical Engineering, Mathematics and Computer Science, Centrum Wiskunde & Informatica (CWI))

Neil Yorke-Smith (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Intelligent Electrical Power Grids
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Publication Year
2020
Language
English
Research Group
Intelligent Electrical Power Grids
Article number
9442077
Pages (from-to)
340-347
ISBN (print)
978-1-7281-4965-3
ISBN (electronic)
978-1-7281-4964-6
Event
18th IEEE International Conference on Industrial Informatics (INDIN'20) (2020-07-01 - 2020-07-01), Warwick, United Kingdom
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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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