郑大勇, 乐振春, 常玉红, 谢欢, 桂林, 陆格野, 党智敏, 张品佳. 基于共模阻抗的双馈异步发电机转子绕组绝缘在线监测[J]. 中国电机工程学报, 2025, 45(7): 2791-2799. DOI: 10.13334/j.0258-8013.pcsee.240292
引用本文: 郑大勇, 乐振春, 常玉红, 谢欢, 桂林, 陆格野, 党智敏, 张品佳. 基于共模阻抗的双馈异步发电机转子绕组绝缘在线监测[J]. 中国电机工程学报, 2025, 45(7): 2791-2799. DOI: 10.13334/j.0258-8013.pcsee.240292
ZHENG Dayong, LE Zhenchun, CHANG Yuhong, XIE Huan, GUI Lin, LU Geye, DANG Zhimin, ZHANG Pinjia. Online Monitoring for Rotor Winding Insulation of Doubly-fed Induction Generator Using Common-Mode Impedance[J]. Proceedings of the CSEE, 2025, 45(7): 2791-2799. DOI: 10.13334/j.0258-8013.pcsee.240292
Citation: ZHENG Dayong, LE Zhenchun, CHANG Yuhong, XIE Huan, GUI Lin, LU Geye, DANG Zhimin, ZHANG Pinjia. Online Monitoring for Rotor Winding Insulation of Doubly-fed Induction Generator Using Common-Mode Impedance[J]. Proceedings of the CSEE, 2025, 45(7): 2791-2799. DOI: 10.13334/j.0258-8013.pcsee.240292

基于共模阻抗的双馈异步发电机转子绕组绝缘在线监测

Online Monitoring for Rotor Winding Insulation of Doubly-fed Induction Generator Using Common-Mode Impedance

  • 摘要: 与传统同步励磁发电机相比,双馈异步电机转子绕组受力复杂,绝缘磨损更为严重,因此其绝缘问题更需关注。目前,转子绝缘问题只能通过转子绕组短路故障诊断方法进行事后保护性切除,无法实现绝缘老化预警。基于此,提出一种利用转子侧变流器产生的开关电压谐波和对应的漏电流谐波响应,对转子绕组绝缘共模等效阻抗进行在线测量的方法。理论分析和实验结果表明:所提方法可以在线监测转子绕组绝缘等效参数的变化,实现转子绕组绝缘老化非侵入式在线监测。

     

    Abstract: In contrast to conventional synchronous generators, doubly-fed induction generators (DFIGs) are subjected to dynamic stress variations in their rotor windings, leading to accelerated insulation aging. This critical issue demands enhanced attention to insulation condition monitoring. While existing protection methods are limited to fault detection and subsequent machine shutdown during short-circuit events, this study proposes an innovative online monitoring approach that enables proactive prognosis of rotor winding insulation degradation. The common-mode equivalent impedance is measured online using the switching transient harmonics produced by the rotor-side converter and the corresponding response in leakage current harmonics. The theoretical analysis and experimental results prove that the proposed method can detect the change in the rotor winding insulation parameters online, enabling non-intrusive online monitoring for rotor winding insulation degradation.

     

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