DocumentCode
1611799
Title
Simulation investigation of wind turbine imbalance faults
Author
Gong, Xiang ; Qiao, Wei
Author_Institution
Dept. of Electr. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
fYear
2010
Firstpage
1
Lastpage
7
Abstract
This paper investigates the use of simulations to study wind turbine imbalance faults. The dynamics of a model wind turbine generator (WTG) are simulated in a combined environment of TurbSim, FAST (Fatigue, Aerodynamics, Structures, Turbulence), and Simulink in three different scenarios, i.e., normal operating conditions, blade imbalance, and aerodynamic asymmetry. The blade imbalance is simulated by scaling the mass density of one blade, which creates an uneven distribution of mass with respect to the rotor. The aerodynamic asymmetry is simulated by adjusting the pitch of one blade, which creates an uneven torque across the rotor. The time-domain simulation results of the WTG output electric power are transformed into the frequency domain using the Fast Fourier Transform (FFT). A power spectrum density (PSD)-based method is then developed to compare two imbalance fault scenarios with the normal operating conditions in the frequency domain. Results clearly show that both the blade imbalance and the aerodynamic asymmetry generate an excitation in the output electric power with the characteristic frequencies the same as the rotating frequencies of the wind turbine. This work provides preliminary results that are useful for online detection of imbalance faults for wind turbines.
Keywords
aerodynamics; blades; fast Fourier transforms; fault location; frequency-domain analysis; power generation faults; power system simulation; rotors; time-domain analysis; torque; turbogenerators; wind turbines; FAST; FFT; PSD-based method; Simulink; TurbSim; WTG; aerodynamic asymmetry; blade imbalance; fast Fourier transform; frequency domain; power spectrum density; rotor; time-domain simulation; torque; uneven mass distribution; wind turbine generator; wind turbine imbalance fault; Aerodynamics; Blades; Data models; Power systems; Rotors; Shafts; Wind turbines; aerodynamic asymmetry; blade imbalance; fault detection; imbalance fault; power spectrum density (PSD); wind turbine;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-5938-4
Type
conf
DOI
10.1109/POWERCON.2010.5666455
Filename
5666455
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