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Numerical Modeling, Electrical Characteristics Analysis and Experimental Validation of Severe Inter-Turn Short Circuit Fault Conditions on Stator Winding in DFIG of Wind Turbines
- Source :
- IEEE Access, Vol 9, Pp 13149-13158 (2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Inter-turn short circuit fault (ITSCF) can be a great threat for the safety and effectiveness of the generator. In this paper, a simulation model with the experimental platform is established to diagnose the ITSCF in stator windings. A simulation model based on the Finite Element Method (FEM) is designed in ANSYS. Stator current is used for calculating the Root-Mean-Square (RMS) value, phase difference, symmetrical components, Park's vector trajectory's and Total Harmonic Distortion (THD). It was found that when ITSCF happened, three phase currents in stator is no longer symmetrical. The ratio of negative to positive sequence of current raises from 0.40 to 14.18 in simulation and 0.52 to 19.89 in the experiment from normal condition to 7 turns shorted. The same trend was seen in Park's vector trajectory analysis where the eccentricity raises from 0.03 to 0.65 in simulation and 0.14 to 0.75 in the experiment. Phase difference of the three phases is at 120° degree deviation as the ITSCF occurs in stator winding. THD also increased with the increase in the fault level. The results show a good consistency of simulation with experimental results. It was found that the analysis performed in this research are major indications for serious fault in DFIG.
- Subjects :
- Total harmonic distortion
General Computer Science
numerical analysis
Stator
020209 energy
020208 electrical & electronic engineering
General Engineering
02 engineering and technology
Fault (power engineering)
Symmetrical components
Finite element method
law.invention
Generator (circuit theory)
Three-phase
Control theory
Electromagnetic coil
law
0202 electrical engineering, electronic engineering, information engineering
finite element methods
General Materials Science
induction machines
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Fault diagnosis
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....be6d401e3e851bf8346fec80bb763dfc