DocumentCode
2869792
Title
The Estimation of Wind Turbine Pitch Angle Based on ANN
Author
Liu, Yanping ; Liu, Shuhong ; Guo, Hongmei ; Wang, Huajun
Author_Institution
Inst. of Inf. Eng., Hebei Univ. of Technol., Tianjin, China
fYear
2009
fDate
1-3 Nov. 2009
Firstpage
581
Lastpage
584
Abstract
Variable-speed and constant-frequency (VSCF) pitch-controlled wind turbine is believed to be superior to other types of wind turbine due to its features such as high efficiency and ideal starting and braking performance, artificial neural networks (ANN) technology is adopted to predict pitch angle at real-time working condition, and to obtain more accurate pitch angle reference value. It enhances control precision of the entire pitch-controlled system. Pitch-controlled system, the very core of a large-scale wind turbine control system, is playing a very important role in the security, stability and efficient operation of the units.
Keywords
neurocontrollers; power generation control; wind turbines; ANN; artificial neural networks; real-time working condition; starting-braking performance; variable-speed and constant-frequency pitch-controlled wind turbine; wind turbine pitch angle estimation; Artificial neural networks; Control systems; Mathematical model; Neural networks; Power generation; Rotors; Wind energy; Wind energy generation; Wind speed; Wind turbines; ANN; Pitch-controlled system; VSCF; pitch angle;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-5557-7
Electronic_ISBN
978-0-7695-3852-5
Type
conf
DOI
10.1109/ICINIS.2009.153
Filename
5366565
Link To Document