A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

  • Qiu Y
  • Jiang H
  • Feng Y
  • et al.
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Abstract

See, stats, and : https : / / www . researchgate . net / publication / 305361469 A Wind Wind Article DOI : 10 . 3390 / en9070548 READS 18 6 , including : Yingning Nanjing 49 SEE Yanhui Nanjing 34 SEE All - text , letting . Available : Yingning Retrieved : 21 energies Article Abstract : Although Permanent Magnet Synchronous Generator (PMSG) wind turbines (WTs) mitigate gearbox impacts , they requires high reliability of generators and converters . Statistical analysis shows that the failure rate of direct - drive PMSG wind turbines ' generators and inverters are high . Intelligent fault diagnosis algorithms to detect inverters faults is a premise for the condition monitoring system aimed at improving wind turbines ' reliability and availability . The influences of random wind speed and diversified control strategies lead to challenges for developing intelligent fault diagnosis algorithms for converters . This paper studies open - circuit fault features of wind turbine converters in variable wind speed situations through systematic simulation and experiment . A new fault diagnosis algorithm named Wind Speed Based Normalized Current Trajectory is proposed and used to accurately detect and locate faulted IGBT in the circuit arms . It is compared to direct current monitoring and current vector trajectory pattern approaches . The results show that the proposed method has advantages in the accuracy of fault diagnosis and has superior anti - noise capability in variable wind speed situations . The impact of the control strategy is also identified . Experimental results demonstrate its applicability on practical WT condition monitoring system which is used to improve wind turbine reliability and reduce their maintenance cost .

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APA

Qiu, Y., Jiang, H., Feng, Y., Cao, M., Zhao, Y., & Li, D. (2016). A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions. Energies, 9(7), 548. https://doi.org/10.3390/en9070548

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