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Minimization of imbalance cost trading wind power on the short term power market
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2005 (English)In: 2005 IEEE Russia Power Tech, PowerTech, 2005Conference paper, Published paper (Other academic)
Abstract [en]

Present power markets are designed for trading conventional generation. For wind generation to participate in short-term energy market lengthy (up to 36 hours) wind power production forecasts are required. Although wind speed forecasting techniques are constantly improving, wind speed forecasts are never perfect and resulting wind power forecast errors imply imbalance costs for wind farm owners. This paper presents a method for minimization of imbalance costs. Stochastic programming is used to generate optimal wind power production bids for short term power market. Wind power forecast error is represented as stochastic parameter. The imbalance costs resulting from this strategy are then compared to the case when wind power production bids on short term power market are based only on wind speed forecast.

Place, publisher, year, edition, pages
2005.
Keyword [en]
Forecasting, Optimization, Power market, Stochastic process, Wind power generation, Commerce, Costs, Electric utilities, Marketing, Mathematical programming, Renewable energy resources, Speed, Stochastic programming, Technological forecasting, Wind effects, Power markets, Wind power
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-36389DOI: 10.1109/PTC.2005.4524621Scopus ID: 2-s2.0-51549100424ISBN: 9781424418749 (print)OAI: oai:DiVA.org:kth-36389DiVA: diva2:430679
Note
QC 20110712Available from: 2011-07-12 Created: 2011-07-12 Last updated: 2011-07-12Bibliographically approved

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Söder, Lennart

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Citation style
  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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