基于相电流瞬时频率估计的永磁直驱风电变流器开路故障诊断

doi:10.19595/j.cnki.1000-6753.tces.200775

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摘要为了提高永磁直驱式风电变流器的稳定性和可靠性,该文针对风电变流器功率管单管和双管故障,提出一种基于相电流瞬时频率估计的开路故障诊断方法。该方法首先提出一种基于加权滑动Hilbert变换的相电流瞬时频率估计方法,然后通过归一化的相电流瞬时频率残差来构造新的故障检测变量检测故障的发生;其次提出基于改进相电流均值法的多功率管开路故障定位方法实现故障功率管的定位。该文提出的故障诊断方法能够同时实现机侧和网侧的21种开路故障诊断,且避免增加额外的传感器,无需使用Park矢量变换和大量故障样本,故障特征更为显著、鲁棒性强。实验结果验证了所提故障诊断算法的有效性和鲁棒性。

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	许水清
	陶松兵
	何怡刚
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关键词 ：风电变流器, 开路故障, 永磁直驱式风电系统, 瞬时频率估计, 加权滑动Hilbert变换

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 words： Wind converters open-circuit fault permanent magnet synchronous generator (PMSG) based wind generation system instantaneous frequency estimation weighted sliding Hilbert transform

收稿日期: 2020-07-02

PACS:

TM464

基金资助:国家重点研发计划项目（2016YFF0102200）、国家自然科学基金重点项目（51637004）和国家自然科学基金项目（61803140, 51807044, 51577046, 51977153）资助

通讯作者: 陶松兵男,1991年生,博士,主要研究方向为风力发电系统及其故障诊断。E-mail: taosongbing@gmail.com

作者简介: 许水清男,1991年生,博士,副教授,主要研究方向为电气设备的在线监测与故障诊断。E-mail: xsqanhui91@gmail.com

引用本文:

许水清, 陶松兵, 何怡刚, 柴毅. 基于相电流瞬时频率估计的永磁直驱风电变流器开路故障诊断[J]. 电工技术学报, 2022, 37(2): 433-444. Xu Shuiqing, Tao Songbing, He Yigang, Chai Yi. Open-Circuit Fault Diagnosis for Back-to-Back Converter of PMSG Wind Generation System Based on Estimated Instantaneous Frequency of Phase Current. Transactions of China Electrotechnical Society, 2022, 37(2): 433-444.

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[1] 李辉, 胡玉, 王坤, 等. 考虑杂散电感影响的风电变流器IGBT功率模块动态结温计算及热分布[J]. 电工技术学报, 2019, 34(20): 4242-4250.
Li Hui, Hu Yu, Wang Kun, et al.Thermal distribution and dynamic junction temperature calculation of IGBT power modules for wind turbine converters considering the influence of stray inductances[J]. Transactions of China Electrotechnical Society, 2019, 34(20): 4242-4250.
[2] 姚芳, 胡痒, 唐圣学, 等. 风电变流器IGBT模块工作结温估算研究[J]. 电机与控制学报, 2018, 22(8): 26-33.
Yao Fang, Hu Yang, Tang Shengxue, et al.Research on the junction temperature estimation of IGBT modules in wind power converters[J]. Electric Machines and Control, 2018, 22(8): 26-33.
[3] 李辉, 刘盛权, 冉立, 等. 大功率并网风电机组变流器状态监测技术综述[J]. 电工技术学报, 2016, 31(8): 1-10.
Li Hui, Liu Shengquan, Ran Li, et al.Overview of condition monitoring technologies of power con- verter for high power grid-connected wind turbine generator system[J]. Transactions of China Electro- technical Society, 2016, 31(8): 1-10.
[4] 安群涛, 孙力, 孙立志, 等. 三相逆变器开关管故障诊断方法研究进展[J]. 电工技术学报, 2011, 26(4): 135-144.
An Quntao, Sun Li, Sun Lizhi, et al.Recent developments of fault diagnosis methods for switches in three-phase inverters[J]. Transactions of China Electrotechnical Society, 2011, 26(4): 135-144.
[5] Duan Pan, Xie Kaigui, Zhang Li, et al.Open-switch fault diagnosis and system reconfiguration of doubly fed wind power converter used in a microgrid[J]. IEEE Transactions on Power Electronics, 2011, 26(3): 816-821.
[6] 安群涛, 孙力, 赵克, 等. 基于开关函数模型的逆变器开路故障诊断方法[J]. 中国电机工程学报, 2010, 30(6): 1-6.
An Quntao, Sun Li, Zhao Ke, et al.Diagnosis method for inverter open-circuit fault based on switching function model[J]. Proceedings of the CESS, 2010, 30(6): 1-6.
[7] 杭俊, 张建忠, 程明, 等. 基于线电压误差的永磁直驱风电系统变流器开路故障诊断[J]. 中国电机工程学报, 2017, 37(10): 2933-2943.
Hang Jun, Zhang Jianzhong, Cheng Ming, et al.Fault diagnosis of open-circuit faults in converters of direct-driven permanent magnet wind power gen- eration systems based on line voltage errors[J]. Proceedings of the CESS, 2017, 37(10): 2933-2943.
[8] Ribeiro R L A, Jacobina C B, Silva E R C, et al. Fault detection of open-switch damage in voltage-fed PWM motor drive systems[J]. IEEE Transactions on Power Electronics, 2003, 18(2): 587-593.
[9] 陈高华, 成庶, 向超群. 非侵入式逆变器功率管开路故障诊断方法[J]. 中国电机工程学报, 2017, 37(13): 3854-3862.
Chen Gaohua, Cheng Shu, Xiang Chaoqun, et al.A non-intrusive diagnostic technique for open-circuited faults of inverters[J]. Proceedings of the CESS, 2017, 37(13): 3854-3862.
[10] Mendes A M S, Cardoso A J M. Voltage source inverter fault diagnosis in variable speed AC drives, by the average current Park's vector approach[C]// IEEE International Electric Machines and Drives Conference, London, UK, 1999: 704-706.
[11] Estima J O, Cardoso A M.A new approach for real-time multiple open-circuit fault diagnosis in voltage-source inverters[J]. IEEE Transactions on Industry Applications, 2011, 47(6): 2487-2494.
[12] Freire N M A, Estima J O, Cardoso A J M. Open-circuit fault diagnosis in PMSG drives for wind turbine applications[J]. IEEE Transactions on Indu- strial Electronics, 2012, 60(9): 3957-3967.
[13] 黄科元, 刘静佳, 黄守道, 等. 永磁直驱系统变流器开路故障诊断方法[J]. 电工技术学报, 2015, 30(16): 129-136.
Huang Keyuan, Liu Jingjia, Huang Shoudao, et al.Converters open-circuit fault-diagnosis methods research for direct-driven permanent magnet wind power system[J]. Transactions of China Electro- technical Society, 2015, 30(16): 129-136.
[14] 陈勇, 刘志龙, 陈章勇. 基于电流矢量特征分析的逆变器开路故障快速诊断与定位方法[J]. 电工技术学报, 2018, 33(4): 883-891.
Chen Yong, Liu Zhilong, Chen Zhangyong.Fast diagnosis and location method for open-circuit fault in inverter based on current vector character analysis[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 883-891.
[15] Estima J O, Marques Cardoso A J. A new algorithm for real-time multiple open-circuit fault diagnosis in voltage-fed PWM motor drives by the reference current errors[J]. IEEE Transactions on Industrial Electronics, 2013, 60(8): 3496-3505.
[16] Zhao Hongshan, Cheng Liangliang.Open switch fault diagnostic method for back to back converters of doubly fed wind power generation system[J]. IEEE Transactions on Power Electronics, 2018, 33(4): 3452-3461.
[17] Zhang Jianghan, Zhao Jin, Zhou Dehong, et al.High- performance fault diagnosis in PWM voltage-source inverters for vector-controlled induction motor drives[J]. IEEE Transactions on Power Electronics, 2014, 29(11): 6087-6099.
[18] 崔江, 王强, 龚春英. 结合小波与Concordia变换的逆变器功率管故障诊断技术研究[J]. 中国电机工程学报, 2015, 35(12): 194-200.
Cui Jiang, Wang Qiang, Gong Chunying.Inverter power switch fault diagnosis technique research based on wavelet and Concordia transform[J]. Pro- cessing of the CESS, 2015, 35(12): 194-200.
[19] 于生宝, 何建龙, 王睿家, 等. 基于小波包分析和概率神经网络的电磁法三电平变换器故障诊断方法[J]. 电工技术学报, 2016, 31(17): 102-112.
Yu Shengbao, He Jianlong, Wang Ruijia, et al.Fault diagnosis of electromagnetic three-level inverter based on wavelet packet analysis and probabilistic neural networks[J]. Transactions of China Electro- technical Society, 2016, 31(17): 102-112.
[20] 陈丹江, 叶银忠. 基于多神经网络的三电平逆变器器件开路故障诊断方法[J]. 电工技术学报, 2013, 28(6): 120-126.
Chen Danjiang, Ye Yinzhong.Fault diagnosis of three level inverter based on multi neural network[J]. Transactions of China Electrotechnical Society, 2013, 28(6): 121-126.
[21] Huang Zhanjun, Wang Zhanshan, Zhang Huaguang.Multiple open-circuit fault diagnosis based on multi- state data processing and subsection fluctuation analysis for photovoltaic inverter[J]. IEEE Transa- ctions on Instrumentation & Measurement, 2018, 67(3): 516-526.
[22] 李兵, 崔介兵, 何怡刚, 等. 基于能量谱熵及小波神经网络的有源中性点钳位三电平逆变器故障诊断[J]. 电工技术学报, 2020, 35(10): 2216-2225.
Li Bing, Cui Jiebing, He Yigang, et al.Fault diagnosis of active neutral point clamped three-level inverter based on energy spectrum entropy and wavelet neural network[J]. Transactions of China Electrotechnical Society, 2020, 35(10): 2216-2225.
[23] Zhang Jingxuan, Sun Hexu, Sun Zexian, et al.Fault diagnosis of wind turbine power converter considering wavelet transform, feature analysis, judgment and bp neural network[J]. IEEE Access, 2019, 7: 179799-179809.
[24] 李凯迪, 陈特放, 成庶, 等. 基于电流滞环控制的逆变器开路故障诊断及容错控制[J]. 电工技术学报, 2019, 34(2): 596-608.
Li Kaidi, Chen Tefang, Cheng Shu, et al.Open circuit fault diagnosis and failure-tolerant control for inverter with hysteresis current control[J]. Transa- ctions of China Electrotechnical Society, 2019, 34(2): 596-608.
[25] 陈勇, 张建建, 陈章勇. 基于电流观测器的三相逆变电路开路故障在线诊断[J]. 电工技术学报, 2019, 34(2): 609-617.
Chen Yong, Zhang Jianjian, Chen Zhangyong.A current observer based on-line open-fault diagnosis for three-phase inverter[J]. Transactions of China Electrotechnical Society, 2019, 34(2): 609-617.
[26] Cizek V.Discrete Hilbert transform[J]. IEEE Transa- ctions on Audio and Electroacoustics, 1970, 18(4): 340-343.
[27] Deng Yongjun, Wang Wei, Qian Chengchun, et al.Boundary-processing-technique in EMD method and Hilbert transform[J]. Chinese Science Bulletin, 2011, 46(11): 76-83.