Transactions of China Electrotechnical Society  2022, Vol. 37 Issue (2): 433-444    DOI: 10.19595/j.cnki.1000-6753.tces.200775
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Open-Circuit Fault Diagnosis for Back-to-Back Converter of PMSG Wind Generation System Based on Estimated Instantaneous Frequency of Phase Current
Xu Shuiqing1, Tao Songbing1, He Yigang1, Chai Yi2
1. College of Electrical Engineering and Automation Hefei University of Technology Hefei 230009 China;
2. State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing 400044 China

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Abstract  To improve the stability and reliability of wind turbine converters based on permanent magnet synchronous generator (PMSG), a new diagnosis method for multiple open-circuit faults based on the estimated instantaneous frequency of phase current is provided. In this method, the weighted sliding Hilbert transform is developed to estimate the instantaneous frequency of phase current firstly. Then, the normalized instantaneous frequency of phase current is used as the principle quantity to construct new diagnostic variables. Subsequently, by the extended average value method of phase current, the faulty IGBTs can be located. This method can diagnose 21 fault types of PMSG-side converters and gird-side converters simultaneously without using Park's vector transformation and a large number of fault samples, while avoiding the additional sensors. Meanwhile, this method has more obvious fault features and strong robustness. The effectiveness and robustness of the proposed diagnosis method are verified by the experimental results.
Key wordsWind converters      open-circuit fault      permanent magnet synchronous generator (PMSG) based wind generation system      instantaneous frequency estimation      weighted sliding Hilbert transform     
Received: 02 July 2020     
PACS: TM464  
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Xu Shuiqing
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Chai Yi
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Xu Shuiqing,Tao Songbing,He Yigang等. Open-Circuit Fault Diagnosis for Back-to-Back Converter of PMSG Wind Generation System Based on Estimated Instantaneous Frequency of Phase Current[J]. Transactions of China Electrotechnical Society, 2022, 37(2): 433-444.
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