Projects per year
Abstract
The conventional means of assessing performance of a wind turbine is through consideration of its power curve. However, this representation fails to capture plausibility of measurement and cannot provide anomaly detection capabilities, which may assist in the detection of plant degradation. Although the probabilistic form of the power curve is complex, Copula models are presented here as a means of expressing the operational power curve as a joint distribution of wind speed and power output. This probabilistic model is demonstrated as an efficient way to remove outliers from operational SCADA data, simplifying and accelerating the process of identifying plant maloperation.
Original language | English |
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Number of pages | 1 |
Publication status | Published - 19 Jun 2018 |
Event | 2018 Global Offshore Wind - Manchester Central , Manchester, United Kingdom Duration: 19 Jun 2018 → 20 Jun 2018 https://events.renewableuk.com/gow18 |
Conference
Conference | 2018 Global Offshore Wind |
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Abbreviated title | gow18 |
Country | United Kingdom |
City | Manchester |
Period | 19/06/18 → 20/06/18 |
Internet address |
Keywords
- wind turbine
- performance
- power curve
- copula model
Fingerprint Dive into the research topics of 'Wind turbine performance assessment & power curve outlier rejection using copula modelling'. Together they form a unique fingerprint.
Projects
- 1 Finished
Research output
- 3 Article
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Copula based model for wind turbine power curve outlier rejection
Wang, Y., Infield, D. G., Stephen, B. & Galloway, S. J., 1 Nov 2014, In: Wind Energy. 17, 11, p. 1677–1688 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile43 Citations (Scopus)235 Downloads (Pure) -
Wind turbine condition assessment through power curve copula modeling
Gill, S., Stephen, B. & Galloway, S., 1 Jan 2012, In: IEEE Transactions on Sustainable Energy. 3, 1, p. 94-101 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile138 Citations (Scopus)274 Downloads (Pure) -
A copula model of wind turbine performance
Stephen, B., Galloway, S. J., McMillan, D., Hill, D. C. & Infield, D. G., 1 May 2011, In: IEEE Transactions on Power Systems. 26, 2, p. 965-966 2 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile67 Citations (Scopus)56 Downloads (Pure)