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On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-2016-1739
2012 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Wind power generation does, on the one hand, contribute to a less polluting and more sustainable electric power generation mix. On the other hand, the uncertainty and the variability of the power output do challenge the operation of the power system: hourly variations in wind power generation are hardly predictable in a precise way. To decrease the need for balancing power, it might be beneficial from the overall system-perspective to subject power generating companies to stricter balancing incentives/rules.

The way the market is designed has become crucial to exploit the existing flexibility in the power system and to increase the efficiency in its operation: inappropriate market designs can counteract all technical achievements. The work conducted for this thesis is embedded in a project on wind power integration and electricity market design following the aim to develop a simulation tool to analyse the consequences of changes in specific market rules.

This thesis analyses wind power variations and forecast errors in the Swedish power system and explores the question whether internal ex-ante self-balancing can efficiently reduce the need for balancing power. Applying internal ex-ante self-balancing, every power generating company re-schedules its own power plants in order to balance its commitments towards other market actors with its newest production forecast. This is done shortly before the hour of delivery.

To assess the value of this self-balancing, possible trading and scheduling decisions for power generating companies are modelled based on a hydro-thermal generation portfolio within the framework of the Nordic electricity market design. The model is based on a sequence of mixed-integer linear optimisation problems for the clearing of the different sub-markets. Both the data and the model have an hourly time resolution. In a case study, the model is applied on a simplified test-system. The need of real-time balancing by the transmission system operator, the total variable generation cost of the system, as well as the extent to which the power generating companies re-scheduled their production are then used as indicators to evaluate self-balancing.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012.
TRITA-EE, ISSN 1653-5146 ; 2012:045
Keyword [en]
balancing, wind power integration, electricity market, wind power variations, wind power forecast errors
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-103608ISBN: 978-91-7501-514-9OAI: diva2:560917
2012-11-06, H1, Teknikringen 33, KTH, Stockholm, 15:00 (English)
Short-term hydro power planning in power systems with large amounts of wind powerElektra 36141: Korttidsplanering av vatten-värmekraftsystem vid stora mängder vindkraft: System-perspektivet

QC 20121017

Available from: 2012-10-17 Created: 2012-10-16 Last updated: 2014-05-05Bibliographically approved

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Errata(304 kB)22 downloads
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