NDLI: Wind turbine power performance test methods based on least squares prediction

Content Provider	IEEE Xplore Digital Library
Author	Xing Zuoxia Zhang Yongxing Liu Jinsong Xue Lichen
Copyright Year	2011
Description	Author affiliation: Xue Lichen' Wind Energy Institute in Shenyang University of Technology, China (Xue Lichen) \|\| Xing Zuoxia' Northeast Electric Power Research Institute, China (Xing Zuoxia; Zhang Yongxing; Liu Jinsong)
Abstract	Wind turbine power performance is an important process of type approval testing project. Because the period of power performance testing is long and it is difficult to collect complete data in a short time, the wind turbine power performance test methods based on least squares prediction is proposed. Firstly, this paper introduces the testing process, site calibration, uncertainty assessment and common data analysis methods of wind turbine power performance using the least square prediction to achieve linear regression and polynomial regression based on limited data. Then the comparative analysis results are carried out through full curve and predicted curve in the actual case to prove the effectiveness of this method in power performance prediction.
Starting Page	1
Ending Page	6
File Size	783700
Page Count	6
File Format	PDF
ISBN	9781457710445
e-ISBN	9781457710438
DOI	10.1109/ICEMS.2011.6073971
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind speed Wind turbines Uncertainty Equations Mathematical model Testing Sea measurements
Content Type	Text
Resource Type	Article

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