Data-Driven Wind Turbine Power Generation Performance Monitoring

Huan Long; Long Wang; Zijun Zhang; Zhe Song; Jia Xu

doi:10.1109/TIE.2015.2447508

Author(s)

Detail(s)

Original language	English
Pages (from-to)	6627-6635
Journal / Publication	IEEE Transactions on Industrial Electronics
Volume	62
Issue number	10
Online published	9 Jun 2015
Publication status	Published - Oct 2015

Link(s)

DOI	DOI https://doi.org/10.1109/TIE.2015.2447508 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-84941585751&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(f3739a57-46b2-4641-9989-153f4c3351a3).html

Abstract

This paper investigates the wind turbine power generation performance monitoring based on supervisory control and data acquisition (SCADA) data. The proposed approach identifies turbines with weakened power generation performance through assessing the wind power curve profiles. Profiles that statistically summarize the curvatures and shapes of a wind power curve over consecutive time intervals are constructed by fitting power curve models into SCADA data sets with a least square method. To monitor the variations of wind power curve profiles over time, multivariate and residual approaches are introduced and applied. Two blind industrial studies are conducted to validate the effectiveness of the proposed monitoring approach, and the results demonstrate high accuracy in detecting the abnormal power curve profiles of wind turbines and their associated time intervals.

Research Area(s)

multivariate approach, Performance monitoring, power curve, residual analysis, wind energy

Citation Format(s)

[ RIS ] [ BibTeX ]

Data-Driven Wind Turbine Power Generation Performance Monitoring. / Long, Huan ; Wang, Long ; Zhang, Zijun et al.
In: IEEE Transactions on Industrial Electronics, Vol. 62, No. 10, 10.2015, p. 6627-6635.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Long, H , Wang, L , Zhang, Z, Song, Z & Xu, J 2015, 'Data-Driven Wind Turbine Power Generation Performance Monitoring', IEEE Transactions on Industrial Electronics, vol. 62, no. 10, pp. 6627-6635. https://doi.org/10.1109/TIE.2015.2447508

Long, H., Wang, L., Zhang, Z., Song, Z., & Xu, J. (2015). Data-Driven Wind Turbine Power Generation Performance Monitoring. IEEE Transactions on Industrial Electronics, 62(10), 6627-6635. https://doi.org/10.1109/TIE.2015.2447508

Long H , Wang L , Zhang Z, Song Z, Xu J. Data-Driven Wind Turbine Power Generation Performance Monitoring. IEEE Transactions on Industrial Electronics. 2015 Oct;62(10):6627-6635. Epub 2015 Jun 9. doi: 10.1109/TIE.2015.2447508

Long, Huan ; Wang, Long ; Zhang, Zijun et al. / Data-Driven Wind Turbine Power Generation Performance Monitoring. In: IEEE Transactions on Industrial Electronics. 2015 ; Vol. 62, No. 10. pp. 6627-6635.