Simulation studies on imbalance faults of wind turbines

Gardels, Derek; Wang, Qiao; Gong, Xiang

doi:10.1109/pes.2010.5589500

Cited by 13 publications

(10 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By changing the weight of the unbalanced mass block, it is possible to simulate the influence of different degrees of mass imbalance faults on the electromagnetic torque and electromagnetic power. The rotor side of the DFIG WT adopts the stator voltage directional vector control [25,26]. The model mainly includes the equivalent wind speed model, the output torque model under blade mass imbalance, the transmission chain model, and the generator model.…”

Section: Simulation Model and Parametersmentioning

confidence: 99%

See 1 more Smart Citation

Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution

et al. 2019

View full text Add to dashboard Cite

The blade mass imbalance fault is one of the common faults of the DFIG (Doubly-Fed Induction Generator) wind turbines (WTs). In this paper, considering the spatiotemporal distribution of natural wind speed and the influence of wind shear and tower shadow effect, the influence of blade mass imbalance faults on the electrical characteristics of DFIG WTs is analyzed. Firstly, the analytical expressions and variation characteristics of electromagnetic torque and electromagnetic power under blade mass imbalance are derived before and after consideration of the spatiotemporal distribution of wind speed. Then simulations on the MATLAB/Simulink platform were done to verify the theoretical analysis results. The theoretical analysis and simulation results show that, considering the spatiotemporal distribution of wind speed and the influence of wind shear and tower shadow effect, the blade mass imbalance fault will cause fluctuation at the frequency of 1P (P = the frequency of rotor rotation), 3P, and 6P on electromagnetic power. Fluctuation at 1P is caused by mass imbalance while fluctuation at 3P and 6P are caused by wind speed spatiotemporal distribution; the amplitude of fluctuation at 1P is proportional to the degree of the imbalance fault. Since the equivalent wind speed has been used in this paper instead of the average wind speed, the data is more suitable for the actual operation of the WT in the natural world and can be applied for fault diagnosis in field WT operation.

show abstract

Section: Simulation Model and Parametersmentioning

confidence: 99%

Section: Simulation Model and Parametersmentioning

confidence: 99%

Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution

et al. 2019

View full text Add to dashboard Cite

show abstract

“…[8], [9]. A rotor asymmetry is usually caused by errors of blade pitch angle (i.e., aerodynamic asymmetry) or rotor (blade) mass imbalance [10], [11]. Fatigue is caused by material aging and varying wind loading experienced by the blades.…”

Section: A Rotor Hub and Bladementioning

confidence: 99%

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

Wang

2015

IEEE Trans. Ind. Electron.

438

197

View full text Add to dashboard Cite

This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines. The Part I of this survey briefly reviews the existing literature surveys on the subject, discusses the common failure modes in the major wind turbine components and subsystems, briefly reviews the condition monitoring and fault diagnostic techniques for these components and subsystems, and specifically discusses the issues of condition monitoring and fault diagnosis for offshore wind turbines.

show abstract

“…As blade imbalance fault (BIF) occurs, it leads to the shaft torque variation of the WT at frequency f r , so called 1P, which depends on the shaft rotating frequency [4], [15]- [16]. Hence, under BIF condition, the shaft torque of the D-PMSG can be modeled as follows…”

Section: A Blade Imbalancementioning

confidence: 99%

Fault diagnosis of wind turbine using control loop current signals

Hang

Zhang

Cheng

2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

View full text Add to dashboard Cite

This paper presents a fault diagnosis method for direct-drive wind turbine with permanent magnet synchronous generator (D-PMSG) by using generator control loop current signals. In this method, the Vold-Kalman filtering order tracking technique is used to track the fault characteristic harmonic components from q-axis current signals. Then the envelopes of amplitudes of the fault harmonic components are calculated and applied for fault diagnosis of D-PMSG. To verify the proposed method, the simulation model is established in MATLAB/Simulink and the simulations are carried out. The results show that the proposed method is effective, where blade imbalance and winding asymmetry faults are successfully detected.

show abstract

Simulation studies on imbalance faults of wind turbines

Cited by 13 publications

References 7 publications

Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution

Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

Fault diagnosis of wind turbine using control loop current signals

Contact Info

Product

Resources

About