Diagnosis and isolation of air-gap eccentricities in closed-loop controlled doubly-fed induction generators

Sundaram, Vivek M.; Toliyat, H.A.

doi:10.1109/iemdc.2011.5994748

Cited by 7 publications

(8 citation statements)

References 15 publications

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“…According to (8), the 2s f s component is the primary fault index in the stator reactive power, which corresponds to a 10 Hz component in this situation. Again, it is clear that this index has also been elevated (Fig.…”

Section: Rotor Inter-turn Short-circuitmentioning

confidence: 99%

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Comparison of rotor electrical fault indices owing to inter‐turn short circuit and unbalanced resistance in doubly‐fed induction generator

Moosavi¹,

Faiz²,

Abadi

et al. 2019

IET Electric Power Applications

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Doubly-fed induction generator (DFIG) is the dominant technology in the wind energy market. Rotor inter-turn shortcircuits (RITSCs) and unbalanced rotor resistance (URR) are the main types of rotor electrical asymmetries in DFIG. The URR has already been considered as an electrical fault or asymmetry in the rotor of DFIG. Although the RITSC introduces URR into the rotor circuit its consequences are not similar due to the structure of the machine and presence of current controllers in the DFIG system. In this study, both RITSC and URR are proposed and compared, and the detection of these faults was performed using appropriate indices in the stator current, reactive power, and rotor modulating voltage signals, which are available in the control system of the DFIG. Furthermore, it is supposed that the discrimination between these two types of faults is feasible by utilising proper fault indices at various operating regions of the wind turbine. The performance of the defined fault indices, for different fault severities, is verified using an experimental setup with the DFIG operating under several conditions such as different power injection into the grid and different rotor speeds, including sub-synchronous and super-synchronous operation.

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Section: Rotor Inter-turn Short-circuitmentioning

confidence: 99%

“…The generator, as the energy conversion heart of the WT, is prone to mechanical and electrical faults. Eccentricity as a major mechanical disorder of DFIG has been addressed and some fault detection methods have been proposed [2,7,8]. Electrical faults could occur in stator or rotor side windings.…”

Section: Introductionmentioning

confidence: 99%

Comparison of rotor electrical fault indices owing to inter‐turn short circuit and unbalanced resistance in doubly‐fed induction generator

Moosavi¹,

Faiz²,

Abadi

et al. 2019

IET Electric Power Applications

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“…Here, finite elements method (FEM) is used to model the eccentricity fault. Previously coupled-circuit approach [23], winding function method [22,24] and magnetic equivalent circuit [25] have been applied for fault modelling in DFIG. However, in FE model, more details of the machine are included and its accuracy is higher than other methods.…”

Section: Research Articlementioning

confidence: 99%

Detection of mixed eccentricity fault in doubly‐fed induction generator based on reactive power spectrum

Faiz

Moosavi

2017

IET Electric Power Applications

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Wide application of wind energy in the world towards reduction of global warming, have made the low cost maintenance of these turbines very important. Basically, mechanical faults such as gear-box faults in these turbines lead to a long down time and consequently heavy financial loss. Generally, these faults cause eccentricity in the generator air gap, so by its early detection the fault can be largely prevented. In this paper, eccentricity fault detection is studied in doubly-fed induction generator (DFIG) which is the most established generator in wind turbines and also is more prone to mechanical faults compared to other technologies. One of frequency components of reactive power is introduced as eccentricity fault index. As the reactive power is always evaluated in the control system, there is no need to include a new hardware for fault detection. Finite elements method is used to model the wound rotor induction machine (WRIM) which is coupled with closed-loop control system. Following the validation of the model in the healthy case experimentally, eccentricity under different operating conditions is included in the modeling. Finally, a simple procedure based on simple signal processing methods is introduced for eccentricity fault diagnosis considering the operating conditions of the wind turbine.

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“…Also, it has been declared that more mathematical analysis is necessary for determining the relationship between frequency components of current and power due to rotor winding asymmetry and eccentricity. A method has been proposed in [79], for detection of static and dynamic eccentricity fault in DFIG. Modified WFA has been used to model the machine.…”

Section: Dfigmentioning

confidence: 99%

Review of eccentricity fault detection techniques in IMs focusing on DFIG

Faiz

Moosavi

2015

2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)

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Induction machines are widely used in different applications. Unpredicted breakdown of these machines usually leads to costly downtime and repairs. These expenses can be minimized by using proper condition monitoring techniques. Eccentricity fault is one of the widespread faults causing machine malfunction; its detection could be useful for preventing of harmful consequences. In this paper, different works on eccentricity fault diagnosis of induction machines with different types of supply have been reviewed. Due to extensive use of induction machines in wind turbines (WT) as doubly-fed induction generator (DFIG), in addition to declaration of importance of eccentricity fault diagnosis in DFIG, detection of eccentricity fault in DFIG is also reviewed.

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Diagnosis and isolation of air-gap eccentricities in closed-loop controlled doubly-fed induction generators

Abstract: A special thanks to Yateendra Deshpande for his valuable help during the course of the project. I also thank all my friends who made life in College Station a little easier. Finally, I thank my parents and brother for all their emotional and monetary support and guidance. vi

Cited by 7 publications

References 15 publications

Comparison of rotor electrical fault indices owing to inter‐turn short circuit and unbalanced resistance in doubly‐fed induction generator

Comparison of rotor electrical fault indices owing to inter‐turn short circuit and unbalanced resistance in doubly‐fed induction generator

Detection of mixed eccentricity fault in doubly‐fed induction generator based on reactive power spectrum

Review of eccentricity fault detection techniques in IMs focusing on DFIG

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