Articles | Volume 2, issue 1
Wind Energ. Sci., 2, 175–187, 2017
Wind Energ. Sci., 2, 175–187, 2017
Research article
28 Mar 2017
Research article | 28 Mar 2017

Monitoring offshore wind farm power performance with SCADA data and an advanced wake model

Niko Mittelmeier et al.

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Cited articles

Albers, A.: Efficient wind farm performance analysis, in: 7th German Wind Energy Conference, DEWEK, 20–21 October, Deutsche WindGuard Consulting GmbH, Wilhelmshaven, Germany, 2004a.
Albers, A.: Relative and Integral Wind Turbine Power Performance Evaluation, in: Proceedings of the European Wind Energy Conference and Exhibition, 22–25 November, London, UK, 2004b.
Albers, A., Klug, H., and Westermann, D.: Power performance verification, in: Proceedings of the European Wind Energy Conference, 657–660, 1–5 March, Nice, France, 1999.
Beck, H., Trujillo, J. J., Wolken-möhlmann, G., Gottschall, J., Schmidt, J., Peña, A., Gomes, V., Lange, B., Hasager, C., and Kühn, M.: Comparison of simulations of the far wake of alpha ventus against ship-based LiDAR measurements, in: RAVE Conference, 13–15 October, Bremerhaven, Germany, 2015.
Carvalho, H. and Guedes, R.: Wind Farm Power Performance Test, in: Scope of the IEC 61400-12-3, Wind Power Expo, Chicago, USA, 2009.
Short summary
Efficient detection of wind turbines operating below their expected power output and immediate corrections help maximize asset value. The method presented estimates the environmental conditions from turbine states and uses pre-calculated power lookup tables from a numeric wake model to predict the expected power output. Deviations between the expected and the measured power output are an indication of underperformance. A demonstration of the method's ability to detect underperformance is given.