基于机电信号融合的DFIG定子绕组匝间短路故障诊断

王栋悦; 谷怀广; 魏书荣; 吴锐; 符杨

doi:10.7500/AEPS20190913001

您当前的位置：

首页 >

文章列表页 >

基于机电信号融合的DFIG定子绕组匝间短路故障诊断

研制与开发 | 更新时间：2025-06-16

- 基于机电信号融合的DFIG定子绕组匝间短路故障诊断
- Diagnosis of Inter-turn Short-circuit Fault in Stator Windings of DFIG Based on Mechanical and Electrical Signal Fusion
- 电力系统自动化-方正平台 2020年44卷第9期页码：171-178
- 作者机构：
  
  1.上海电力大学电气工程学院，上海市200090
  2.全球能源互联网研究院有限公司，北京市102209
  3.国网安徽省电力有限公司六安供电公司，安徽省六安市 237006
- 作者简介：
  
  王栋悦(1995—)，女，硕士研究生，主要研究方向：海上风力发电机组故障诊断。E-mail：wdyn1117@163.com
  谷怀广(1986—)，男，硕士，工程师，主要研究方向：柔性直流电网数模混合仿真及谐波分析。E-mail：ghg496@163.com
  魏书荣(1980—)，女，通信作者，副教授，主要研究方向：海上风电优化规划与故障诊断。E-mail：wsrmail@163.com
- 基金信息：
  
  国家重点研发计划资助项目(2017YFB0902800);国家自然科学基金资助项目(51907115);上海市科技创新行动计划资助项目(18DZ1202400)
- DOI：10.7500/AEPS20190913001
  中图分类号：
- 收稿日期：2019-09-13，
  
  修回日期：2019-12-30，
  
  网络出版日期：2020-04-01，
  
  纸质出版日期：2020-05-10
- 稿件说明：
移动端阅览
王栋悦,谷怀广,魏书荣等.基于机电信号融合的DFIG定子绕组匝间短路故障诊断[J].电力系统自动化,2020,44(9):171-178.

WANG Dongyue,GU Huaiguang,WEI Shurong,et al.Diagnosis of Inter-turn Short-circuit Fault in Stator Windings of DFIG Based on Mechanical and Electrical Signal Fusion[J].Automation of Electric Power Systems,2020,44(9):171-178.
王栋悦,谷怀广,魏书荣等.基于机电信号融合的DFIG定子绕组匝间短路故障诊断[J].电力系统自动化,2020,44(9):171-178. DOI： 10.7500/AEPS20190913001.

WANG Dongyue,GU Huaiguang,WEI Shurong,et al.Diagnosis of Inter-turn Short-circuit Fault in Stator Windings of DFIG Based on Mechanical and Electrical Signal Fusion[J].Automation of Electric Power Systems,2020,44(9):171-178. DOI： 10.7500/AEPS20190913001.

摘要

定子绕组匝间短路故障是双馈异步发电机(DFIG)常见的故障形式，发生概率高达30%，直接威胁到发电机的安全运行。发电机在复杂多变的环境下运行时，单一故障特征往往难以精准地反映故障，从而易产生误判、漏判的情况。文中提出一种基于电气、机械信号融合的定子绕组匝间短路故障诊断新方法——负序电流差与定子径向振动信号的二倍频分量联合诊断。首先利用支持向量机分别计算单一故障特征下的匝间短路故障概率；然后将其作为D-S证据理论的基本概率分配，依托证据组合规则，得出定子绕组匝间短路的最终诊断结果。实验结果表明：与基于单一信号的故障诊断方法相比，该方法能够更有效地诊断定子绕组匝间短路故障并可靠识别短路匝数，提高故障诊断的精确度，可推广应用至海上风电等对故障识别精度要求更高的领域。

Abstract

The stator winding inter-turn short-circuit fault is a common fault form of the doubly-fed induction generator (DFIG) and the occurrence probability is up to 30%

which directly threatens the safe operation of the generator. When a generator operates in a complex and variable environment

it is often difficult to diagnosis inter-turn short-circuit fault accurately by a single fault feature

which can easily lead to misjudgments and missed diagnosis. Therefore

a new fault diagnosis method for stator winding inter-turn short-circuit fault is proposed based on electrical and mechanical signal fusion

that is the joint diagnosis of negative sequence current difference and double frequency component of stator radial vibration signal. Firstly

support vector machine (SVM) is used to calculate the probability of the inter-turn short-circuit fault with the single fault feature

and then the probability is taken as the basic probability assignment of D-S evidence theory. The final diagnosis result is obtained relying on the evidence combination rule. The experimental results indicate that compared with the fault diagnosis method based on single fault feature

this method can diagnose the inter-turn short circuit faults in stator winding more effectively and identify the number of short-circuit turns reliably

so as to improve the accuracy of fault diagnosis

and can be applied to the other fields requiring higher fault identification accuracy

such as offshore wind power.

关键词

Keywords

references

Global Wind Energy Council . Global wind report 2018 [R]. Spain ： Global Wind Energy Council ， 2019 .

魏书荣 , 吴锐 , 符杨 , 等 . 基于正序阻抗角的海上DFIG定子绕组匝间短路故障辨识 [J]. 电力系统自动化 , 2019 , 43 ( 12 ): 165 - 173 .

WEI Shurong , WU Rui , FU Yang , et al . Inter-turn short-circuit fault identification of stator winding for offshore DFIG based on positive sequence impedance angle [J]. Automation of Electric Power Systems , 2019 , 43 ( 12 ): 165 - 173 .

马宏忠 , 张志艳 , 张志新 , 等 . 双馈异步发电机定子匝间短路故障诊断研究 [J]. 电机与控制学报 , 2011 , 15 ( 11 ): 50 - 54 .

MA Hongzhong , ZHANG Zhiyan , ZHANG Zhixin , et al . Research on DFIG stator winding inter-turn short circuit fault [J]. Electric Machines and Control , 2011 , 15 ( 11 ): 50 - 54 .

BOUZID M , CHAMPENOIS G . New expressions of symmetrical components of the induction motor under stator faults [J]. IEEE Transactions on Industrial Electronics , 2013 , 60 ( 9 ): 4093 - 4102 .

何玉灵 , 庞彬 . 基于振动信号多尺度熵的发电机故障监测方法研究 [J]. 电机与控制应用 , 2015 , 42 ( 9 ): 43 - 46 .

HE Yuling , PANG Bin . Investigation on generator fault monitoring method based on multi-scale entropy of rotor vibration signal [J]. Electric Machines & Control Application , 2015 , 42 ( 9 ): 43 - 46 .

SHAH D , NANDI S , NETI P . Stator-interturn-fault detection of doubly fed induction generators using rotor-current and search-coil-voltage signature analysis [J]. IEEE Transactions on Industry Applications , 2009 , 45 ( 5 ): 1831 - 1842 .

万书亭 . 基于机电综合特征的发电机转子故障诊断系统的研究 [J]. 华北电力大学学报(自然科学版) , 2007 ， 34 ( 6 ): 28 - 31 .

WAN Shuting . The rotor fault diagnosis system of generator based on compositive characteristics of vibration and electric [J]. Journal of North China Electric Power University (Natural Science Edition) , 2007 ， 34 ( 6 ): 28 - 31 .

李永刚 , 王罗 , 李俊卿 , 等 . 基于多源信息融合的同步发电机转子绕组匝间短路故障识别 [J]. 电力系统自动化 , 2019 , 43 ( 16 ): 162 - 170 .

LI Yonggang , WANG Luo , LI Junqing , et al . Identification of inter-turn short-circuit fault in rotor windings of synchronous generator based on multi-source information fusion [J]. Automation of Electric Power Systems , 2019 , 43 ( 16 ): 162 - 170 .

陈立平 . 基于模糊神经网络的电机定子绕组匝间短路故障的在线诊断 [J]. 长沙电力学院学报(自然科学版) , 2004 , 19 ( 3 ): 31 - 34 .

CHEN Liping . On-line detecting inter-turn short circuit in stator winding of AC electrical machine based on fuzzy neural network [J]. Journal of Changsha University of Electric Power(Natural Science) , 2004 , 19 ( 3 ): 31 - 34 .

李俊卿 , 朱锦山 , 沈亮印 , 等 . SVD滤波与改进小生境遗传算法在双馈异步电机转子匝间短路故障量提取中的应用 [J]. 华北电力大学学报(自然科学版) , 2017 , 44 ( 2 ): 42 - 46 .

LI Junqing , ZHU Jinshan , SHEN Liangyin , et al . Application of SVD filter and improved niche genetic algorithm in doubly-fed induction generator rotor intern-turn short circuit fault analysis [J]. Journal of North China Electric Power University(Natural Science Edition) , 2017 , 44 ( 2 ): 42 - 46 .

郁琛 , 吕友杰 , 段荣华 , 等 . 基于偏互信息法与支持向量机的覆冰闪络故障预警 [J]. 电力系统自动化 , 2018 , 42 ( 2 ): 92 - 98 .

YU Chen , LYU Youjie , DUAN Ronghua , et al . A forecast method of icing flashover fault based on partial mutual information method and support vector machine [J]. Automation of Electric Power Systems , 2018 , 42 ( 2 ): 92 - 98 .

李俊卿 , 王栋 . 双馈感应发电机转子匝间短路时定子电流谐波分析 [J]. 电力系统自动化 , 2014 , 38 ( 21 ): 71 - 76 .

LI Junqing , WANG Dong . Analysis on stator current harmonics characteristics with rotor winding inter-turn short circuit fault in DFIG [J]. Automation of Electric Power Systems , 2014 , 38 ( 21 ): 71 - 76 .

许伯强 , 郑泽慧 . 基于Duffing系统与APES算法的DFIG定子匝间故障检测新方法 [J]. 电力自动化设备 , 2019 , 39 ( 5 ): 103 - 108 .

XU Boqiang , ZHENG Zehui . Novel method based on Duffing system and APES algorithm for stator winding inter-turn fault detection of DFIG [J]. Electric Power Automation Equipment , 2019 , 39 ( 5 ): 103 - 108 .

曾军 , 陈艳峰 , 杨苹 , 等 . 大型风力发电机组故障诊断综述 [J]. 电网技术 , 2018 , 42 ( 3 ): 849 - 860 .

ZENG Jun , CHEN Yanfeng , YANG Ping , et al . Review of fault diagnosis methods of large-scale wind turbines [J]. Power System Technology , 2018 , 42 ( 3 ): 849 - 860 .

何玉灵 , 王珂 , 仲昊 , 等 . 基于最大相关峭度解卷积算法的发电机特征振动信号增强检测 [J]. 华北电力大学学报(自然科学版) , 2017 , 44 ( 3 ): 67 - 73 .

HE Yuling , WANG Ke , ZHONG Hao , et al . Enhanced detection of generator’s characteristic vibration signal based on maximum correlated kurtosis deconvolution [J]. Journal of North China Electric Power University(Natural Science Edition) , 2017 , 44 ( 3 ): 67 - 73 .

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 .

万书亭 , 李和明 , 许兆凤 , 等 . 定子绕组匝间短路对发电机定转子径向振动特性的影响 [J]. 中国电机工程学报 , 2004 , 24 ( 4 ): 157 - 161 .

WAN Shuting , LI Heming , XU Zhaofeng , et al . Analysis of generator vibration characteristic on stator winding inter-turn short circuit fault [J]. Proceedings of the CSEE , 2004 , 24 ( 4 ): 157 - 161 .

胡天宇 , 郭庆来 , 孙宏斌 . 基于堆叠去相关自编码器和支持向量机的窃电检测 [J]. 电力系统自动化 , 2019 , 43 ( 1 ): 119 - 127 .

HU Tianyu , GUO Qinglai , SUN Hongbin . Nontechnical loss detection based on stacked uncorrelating autoencoder and support vector machine [J]. Automation of Electric Power Systems , 2019 , 43 ( 1 ): 119 - 127 .

胡益 , 王晓茹 , 滕予非 , 等 . 基于多层支持向量机的交直流电网频率稳定控制方法 [J]. 中国电机工程学报 , 2019 , 39 ( 14 ): 4104 - 4118 .

HU Yi , WANG Xiaoru , TENG Yufei , et al . Frequency stability control method of AC/DC power system based on multi-layer support vector machine [J]. Proceedings of the CSEE , 2019 , 39 ( 14 ): 4104 - 4118 .

梅检民 , 赵慧敏 , 肖云魁 , 等 . 基于多分类支持向量机和D-S证据理论的轴承故障诊断 [J]. 汽车工程 , 2015 , 37 ( 1 ): 114 - 119 .

MEI Jianmin , ZHAO Huimin , XIAO Yunkui , et al . Fault diagnosis of bearings based on multi-class SVM and D-S evidence theory [J]. Automotive Engineering , 2015 , 37 ( 1 ): 114 - 119 .

PLATT J . Probabilistic outputs for support vector machines and comparison to regularize likelihood methods [J]. Advances in Large Margin Classifiers , 2000 , 10 ( 4 ): 61 - 74 .

DONG G , KUANG G . Target recognition via information aggregation through Dempster-Shafer’s evidence theory [J]. IEEE Geoscience and Remote Sensing Letters , 2015 , 12 ( 6 ): 1247 - 1251 ．

PENG Y , QIAO W , QU L , et al . Gearbox fault diagnosis using vibration and current information fusion [C]// 2016 IEEE Energy Conversion Congress and Exposition (ECCE) , September 18 - 22 , 2016 , Milwaukee, USA: 1 - 6 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于零序电流长时变化特征的中压导线碰树接地故障识别方法

基于FPGA的两阶段配电网拓扑实时辨识算法

基于孪生模型的模块化多电平换流器保护