Impedance spectroscopy failure diagnosis of a DFIG-based wind turbine

Becherif, Mohamed; Henni, A.; Benbouzid, Mohamed; Wack, Maxime

doi:10.1109/iecon.2012.6389196

Cited by 5 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The case studied is a system of wind power generation with DFIG proposed in [17] and used in some papers as [18] and [19]. The system has a 9MW wind farm composed by six DFIG, with 1,5MW each, connected to a 25kV distribution system with 30 km and a infinite bus of 120kV in the end of grid (Fig.…”

Section: A Model Descriptionmentioning

confidence: 99%

Fuzzy logic for stator current harmonic control in Doubly Fed Induction Generator

Santana

Roberto

versori

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

This paper presents a new control topology to reduce the effect of the fifth negative and seventh positive voltages harmonic in the Doubly Fed Induction Generator (DFIG) in wind power systems. The proposed control is based on the concept of active power filters. A rotor current is delivered in the opposite direction of the harmonic content to reduces its effect. A incremental fuzzy controller is used within the principle of the traditional resonant control in which the frequency is tuned to six time the synchronous frequency. This method reduces both fifth and seventh harmonic at the same time. A 9MW wind farm is simulated to rate proposed control where some situations with different harmonic content are considered. Then the stator currents and the electromagnetic torque between those situations are compared to the traditional vector control.

show abstract

Section: A Model Descriptionmentioning

confidence: 99%

Fuzzy logic for stator current harmonic control in Doubly Fed Induction Generator

Santana

Roberto

versori

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

show abstract

“…The aim drawback of this approach is that the detection efficiency requires a good choice of the principal components number. Some researchers are proposed failures diagnosis of wind turbines generators using impedance spectroscopy (IS) [27]. On the other hand, the periodogram and its extensions which are evaluated through a Fast Fourier Transform (FFT) is not a consistent estimator of the PSD because its variance does not tend to zero as the data length tends to infinity.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods

Chakkor

Baghouri

Hajraoui

2014

IJACSA

View full text Add to dashboard Cite

1 Abstract-Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting.

show abstract

Characterization of silicon based photovoltaic cells using broadband impedance spectroscopy

Olayiwola

Barendse

2016

2016 IEEE Energy Conversion Congress and Exposition (ECCE)

View full text Add to dashboard Cite

Impedance spectroscopy failure diagnosis of a DFIG-based wind turbine

Cited by 5 publications

References 10 publications

Fuzzy logic for stator current harmonic control in Doubly Fed Induction Generator

Fuzzy logic for stator current harmonic control in Doubly Fed Induction Generator

Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods

Characterization of silicon based photovoltaic cells using broadband impedance spectroscopy

Contact Info

Product

Resources

About