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Conference paper

Impact of Renewable Energy Forecast Imperfections on Market-Clearing Outcomes

In Proceedings of Ieee International Energy Conference 2016 — 2016, pp. 1-6
From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3

CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark4

The increased integration of renewable energy sources, in particular wind and solar power, calls for changes in power system operation. Current market designs that are only efficient to accommodate limited uncertainty are highly challenged by the partly predictable renewable energy generation. Hence, innovative market structures have been proposed to cope with the uncertainty introduced.

Nonetheless, the quality of wind power forecasts may affect the market outcome due to their inaccuracy. For this reason, a framework is proposed to examine market-clearing algorithms, both deterministic and stochastic approaches, under imperfect wind power forecasts in order to quantify their influence on the market outcome.

Results show that mean value mismatch between “estimated” and “realized” distributions has the highest impact on total system cost. Finally, it is examined if cost recovery for market players is guaranteed in the presence of inaccurate wind power forecasts.

Language: English
Publisher: IEEE
Year: 2016
Pages: 1-6
Proceedings: 2016 IEEE International Energy Conference
ISBN: 1467384631 , 146738464X , 146738464x , 9781467384636 and 9781467384643
Types: Conference paper
DOI: 10.1109/ENERGYCON.2016.7513962
ORCIDs: Ordoudis, Christos and Pinson, Pierre

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