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Sensors 2016, 16(6), 816; doi:10.3390/s16060816

Power Performance Verification of a Wind Farm Using the Friedman’s Test

1
Departamento de Ciencias de la Computación y electrónica, Universidad Técnica Particular de Loja, Campus de la Universidad Técnica Particular de Loja, Calle San Cayetano Alto s/n, Loja 1101608, Ecuador
2
Departamento de Ingeniería Telemática y Electrónica, Universidad Politécnica de Madrid, Madrid 28031, Espana
*
Author to whom correspondence should be addressed.
Academic Editor: Debbie G. Senesky
Received: 9 March 2016 / Revised: 20 May 2016 / Accepted: 31 May 2016 / Published: 3 June 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4929 KB, uploaded 3 June 2016]   |  

Abstract

In this paper, a method of verification of the power performance of a wind farm is presented. This method is based on the Friedman’s test, which is a nonparametric statistical inference technique, and it uses the information that is collected by the SCADA system from the sensors embedded in the wind turbines in order to carry out the power performance verification of a wind farm. Here, the guaranteed power curve of the wind turbines is used as one more wind turbine of the wind farm under assessment, and a multiple comparison method is used to investigate differences between pairs of wind turbines with respect to their power performance. The proposed method says whether the power performance of the specific wind farm under assessment differs significantly from what would be expected, and it also allows wind farm owners to know whether their wind farm has either a perfect power performance or an acceptable power performance. Finally, the power performance verification of an actual wind farm is carried out. The results of the application of the proposed method showed that the power performance of the specific wind farm under assessment was acceptable. View Full-Text
Keywords: SCADA system; wind farm power performance; nonparametric statistical tests SCADA system; wind farm power performance; nonparametric statistical tests
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hernandez, W.; López-Presa, J.L.; Maldonado-Correa, J.L. Power Performance Verification of a Wind Farm Using the Friedman’s Test. Sensors 2016, 16, 816.

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