基于Duffing系统与APES算法的DFIG定子匝间故障检测新方法
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摘要
简要介绍了Duffing振子信号检测和幅度相位估计(APES)算法的原理,提出将Duffing振子信号检测与APES算法相结合的双馈感应风力发电机(DFIG)定子匝间故障检测新方法。利用Duffing振子参数敏感性及对背景噪声的强免疫性,根据相轨迹图变化判断是否存在待测故障特征,在此基础上结合APES算法确定故障特征的振幅,弥补了Duffing振子无法提供准确幅值的不足。仿真结果证明了所提方法的实用性和有效性。
The principles of Duffing oscillator signal detection and APES(Amplitude Phase EStimation) algorithm are briefly introduced. A novel method combining Duffing oscillator signal detection and APES algorithm is proposed for detecting stator winding inter-turn fault of DFIG(Doubly-Fed Induction Generator). Based on the sensitivity of Duffing oscillator parameters and the strong immunity to background noise,the presence of fault features to be mea-sured is detected according to the phase map change,based on which,the APES algorithm is used to determine the amplitude of fault features to make up for the inadequacy that Duffing oscillator can not provide accurate amplitude. The simulative results show that the proposed method is practicable and effective.
The principles of Duffing oscillator signal detection and APES(Amplitude Phase EStimation) algorithm are briefly introduced. A novel method combining Duffing oscillator signal detection and APES algorithm is proposed for detecting stator winding inter-turn fault of DFIG(Doubly-Fed Induction Generator). Based on the sensitivity of Duffing oscillator parameters and the strong immunity to background noise,the presence of fault features to be mea-sured is detected according to the phase map change,based on which,the APES algorithm is used to determine the amplitude of fault features to make up for the inadequacy that Duffing oscillator can not provide accurate amplitude. The simulative results show that the proposed method is practicable and effective.
引文
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[9] 马宏忠,张艳,魏海增,等.基于转子平均瞬时功率的双馈异步发电机定子绕组匝间短路故障诊断[J].电力自动化设备,2018,38(4):151-156.MA Hongzhong,ZHANG Yan,WEI Haizeng,et al.Diagnosis of stator winding inter-turn short circuit in DFIG based on instantaneous ave-rage power in rotor side[J].Electric Power Automation Equipment,2018,38(4):151-156.
[10] 王景婷.双馈式风力发电机故障特征分析与检测方法研究[D].保定:华北电力大学,2015.WANG Jingting.Analysis of the characteristics of the fault in doubly-fed induction generators and detection scheme research[D].Baoding:North China Electric Power University,2015.
[11] STEFANI A,YAZIDI A,ROSSI C,et al.Doubly fed induction machines diagnosis based on signature analysis of rotor modulating signals[J].IEEE Transactions on Industry Application,2008,44(6):1711-1721.
[12] 牛德智,陈长兴,班斐,等.Duffing振子微弱信号检测盲区消除及检测统计量构造[J].物理学报,2015,64(6):71-83.NIU Dezhi,CHEN Changxing,BAN Fei,et al.Blind angle elimination method in weak signal detection with Duffing oscillator and construction of detection statistics[J].Acta Physica Sinica,2015,64(6):71-83.
[13] 许伯强,李金卜.基于奇异值分解滤波与APES算法的异步电动机转子故障检测[J].电力自动化设备,2016,36(8):165-169.XU Boqiang,LI Jinbo.Rotor fault detection based on SVD filtering and APES algorithm for asynchronous motor[J].Electric Power Automation Equipment,2016,36(8):165-169.
[14] 许伯强,张舒怡.定子故障下的双馈风力发电机组建模与稳定性分析[J].电力自动化设备,2016,36(9):93-99.XU Boqiang,ZHANG Shuyi.Modeling and stability analysis of DFIG with stator fault[J].Electric Power Automation Equipment,,2016,36(9):93-99.
[15] 孙丽玲,王续,许伯强.基于SVD滤波技术与快速四阶累积量ESPRIT算法的异步电动机转子断条故障检测新方法[J].电工技术学报,2015,30(10):147-156.SUN Liling,WANG Xu,XU Boqiang.A detection method for broken rotor bar fault in induction motors based on SVD and SFOC-ESPRIT[J].Transactions of China Electrotechnical Society,2015,30(10):147-156.
[2] 王致杰,徐余法,刘三明,等.大型风力发电机组状态监测与智能故障诊断[M].上海:上海交通大学出版社,2013:58.
[3] 孙丽玲,王续,许伯强.基于SVD滤波技术与快速四阶累积量ESPRIT算法的异步电动机转子断条故障检测新方法[J].电工技术学报,2015,30(10):147-156.SUN Liling,WANG Xu,XU Boqiang.A detection method for broken rotor bar fault in induction motors based on SVD and SFOC-ESPRIT[J].Transactions of China Electrotechnical Society,2015,30(10):147-156.
[4] 许伯强,孙丽玲,李和明.基于高频率分辨力谱估计技术与优化算法的异步电动机转子故障检测新方法[J].中国电机工程学报,2013,33(3):140-147.XU Boqiang,SUN Liling,LI Heming.A detection method for rotor fault in induction motors based on high ferquency resolution spectrum estimation technique and optimization algorithm[J].Proceedings of the CSEE,2013,33(3):140-147.
[5] 张滨生,喻乐,和敬涵,等.基于快速TLS-ESPRIT的间谐波检测算法[J].电力自动化设备,2011,31(2):26-31.ZHANG Binsheng,YU Le,HE Jinghan,et al.Inter-harmonic detection based on fast TLS-ESPRIT[J].Electric Power Automation Equipment,2011,31(2):26-31.
[6] 魏书荣,张路,符杨,等.基于派克矢量轨迹椭圆度的海上双馈电机定子绕组匝间短路早期故障辨识[J].中国电机工程学报,2017,37(10):3001-3009.WEI Shurong,ZHANG Lu,FU Yang,et al.Early fault detection based on the Park's vector locus ovality for inter-turn faults in stator windings of the offshore wind DFIG[J].Proceedings of the CSEE,2017,37(10):3001-3009.
[7] 魏书荣,李正茂,符杨,等.计及电流估计差的海上双馈电机定子绕组匝间短路故障诊断[J/OL].中国电机工程学报:1-9[2018-03-06].WEI Shurong,LI Zhengmao,FU Yang,et al.Inter-turn faults diagnosis on stator windings of offshore wind DFIGs considering current estimated difference[J/OL].Proceedings of the CSEE:1-9[2018-03-06].
[8] 魏书荣,张路,符杨,等.基于拟序阻抗的海上双馈电机定子绕组匝间短路早期故障辨识[J].中国电机工程学报,2017,37(1):273-282.WEI Shurong,ZHANG Lu,FU Yang,et al.Early fault detection based on the quasi-sequence impedance for inter-turn faults in stator windings of offshore wind DFIG[J].Proceedings of the CSEE,2017,37(1):273-282.
[9] 马宏忠,张艳,魏海增,等.基于转子平均瞬时功率的双馈异步发电机定子绕组匝间短路故障诊断[J].电力自动化设备,2018,38(4):151-156.MA Hongzhong,ZHANG Yan,WEI Haizeng,et al.Diagnosis of stator winding inter-turn short circuit in DFIG based on instantaneous ave-rage power in rotor side[J].Electric Power Automation Equipment,2018,38(4):151-156.
[10] 王景婷.双馈式风力发电机故障特征分析与检测方法研究[D].保定:华北电力大学,2015.WANG Jingting.Analysis of the characteristics of the fault in doubly-fed induction generators and detection scheme research[D].Baoding:North China Electric Power University,2015.
[11] STEFANI A,YAZIDI A,ROSSI C,et al.Doubly fed induction machines diagnosis based on signature analysis of rotor modulating signals[J].IEEE Transactions on Industry Application,2008,44(6):1711-1721.
[12] 牛德智,陈长兴,班斐,等.Duffing振子微弱信号检测盲区消除及检测统计量构造[J].物理学报,2015,64(6):71-83.NIU Dezhi,CHEN Changxing,BAN Fei,et al.Blind angle elimination method in weak signal detection with Duffing oscillator and construction of detection statistics[J].Acta Physica Sinica,2015,64(6):71-83.
[13] 许伯强,李金卜.基于奇异值分解滤波与APES算法的异步电动机转子故障检测[J].电力自动化设备,2016,36(8):165-169.XU Boqiang,LI Jinbo.Rotor fault detection based on SVD filtering and APES algorithm for asynchronous motor[J].Electric Power Automation Equipment,2016,36(8):165-169.
[14] 许伯强,张舒怡.定子故障下的双馈风力发电机组建模与稳定性分析[J].电力自动化设备,2016,36(9):93-99.XU Boqiang,ZHANG Shuyi.Modeling and stability analysis of DFIG with stator fault[J].Electric Power Automation Equipment,,2016,36(9):93-99.
[15] 孙丽玲,王续,许伯强.基于SVD滤波技术与快速四阶累积量ESPRIT算法的异步电动机转子断条故障检测新方法[J].电工技术学报,2015,30(10):147-156.SUN Liling,WANG Xu,XU Boqiang.A detection method for broken rotor bar fault in induction motors based on SVD and SFOC-ESPRIT[J].Transactions of China Electrotechnical Society,2015,30(10):147-156.