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Conference paper

Offering Strategy of a Flexibility Aggregator in a Balancing Market Using Asymmetric Block Offers

In Proceedings of 2018 Power Systems Computation Conference — 2018, pp. 1-7
From

Department of Management Engineering, Technical University of Denmark1

Systems Analysis, Department of Management Engineering, Technical University of Denmark2

Swiss Federal Institute of Technology Zurich3

Technical University of Munich4

Department of Electrical Engineering, Technical University of Denmark5

Center for Electric Power and Energy, Centers, Technical University of Denmark6

Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark7

In order to enable large-scale penetration of renewables with variable generation, new sources of flexibility have to be exploited in the power systems. Allowing asymmetric block offers (including response and rebound blocks) in balancing markets can facilitate the participation of flexibility aggregators and unlock load-shifting flexibility from, e.g., thermostatic loads.

In this paper, we formulate an optimal offering strategy for a risk-averse flexibility aggregator participating in such a market. Using a price-taker approach, load flexibility characteristics and balancing market price forecast scenarios are used to find optimal load-shifting offers under uncertainty.

The problem is formulated as a stochastic mixed-integer linear program and can be solved with reasonable computational time. This work is taking place in the framework of the real-life demonstration project EcoGrid 2.0, which includes the operation of a balancing market on the island of Bornholm, Denmark.

In this context, aggregators will participate in the market by applying the offering strategy optimization tool presented in this paper.

Language: English
Publisher: IEEE
Year: 2018
Pages: 1-7
Proceedings: 20th Power Systems Computation Conference
ISBN: 1538615835 , 1910963097 , 1910963100 , 9781538615836 , 9781910963098 and 9781910963104
Types: Conference paper
DOI: 10.23919/PSCC.2018.8443038
ORCIDs: Kazempour, Jalal and Pinson, Pierre

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