Fault diagnosis method based on multi-source information fusion for weak interturn short circuit in synchronous condensers

被引:15
|
作者
Ma, Minghan [1 ]
He, Pengkang [1 ]
Li, Yonggang [1 ]
Li, Hongshuo [1 ]
Jiang, Meng [1 ]
Wu, Yucai [1 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Yonghua North St 619, Baoding, Peoples R China
基金
中国国家自然科学基金;
关键词
CONTROL STRATEGY; GENERATOR; WINDINGS; STATOR;
D O I
10.1049/elp2.12094
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The interturn short circuit fault in rotor windings is a common fault in a synchronous condenser. Aiming at the early faults that are difficult to detect, the theory of multi-source information fusion is applied herein for the identification of short circuit faults in the rotor windings of a synchronous condenser. Firstly, a field-circuit-network coupling model of a synchronous condenser for high-voltage direct current (HVDC) transmission was constructed using SIMULINK/ANSYS. The air gap magnetic flux density of the interturn short circuit regulator with a rotor winding was obtained, via co-simulation, before and after the commutation failure in the HVDC inverter. Further, three-dimensional models of the stator and rotor of the synchronous condenser were established using ANSYS/Workbench; the stator and rotor vibration responses of the synchronous condenser were monitored before and after the system commutation failure. Secondly, three types of evidence bodies were obtained based on the Dempster-Shafer evidence theory. The results show that the confidence level of the evidence body of each faulted component of the synchronous condenser increases, and the accuracy of fault recognition also increases upon system commutation failure. Finally, a three-pair-pole synchronous motor (MJF-30-6) was used to simulate the rated and overexcited operations of the synchronous condenser for experimental verification of the feasibility of the proposed method. This method provides a reference for the identification of weak interturn short circuit faults in synchronous condensers.
引用
收藏
页码:1245 / 1260
页数:16
相关论文
共 50 条
  • [1] New fault diagnosis method for stator winding interturn short circuit in synchronous condensers
    Ma H.-Z.
    Jiang M.-Y.
    Li C.-Y.
    Chen Z.-F.
    Tang X.-Z.
    [J]. Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2021, 25 (09): : 35 - 45
  • [2] Fault Diagnosis Method Based on Multi-Source Information Fusion
    Lei, Ming
    Liao, Dapeng
    Zhou, Chunsheng
    Ci, Wenbin
    Zhang, Hui
    [J]. INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015), 2015, : 315 - 318
  • [3] Stator Interturn Short-circuit Fault Diagnosis in Synchronous Condensers Based on the Third Current Harmonic
    Jiang Mengyao
    Ma Hongzhong
    Lin Yuandi
    Wei Chao
    [J]. 2020 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), VOL 1, 2020, : 1438 - 1444
  • [4] Busbar fault diagnosis method based on multi-source information fusion
    Jiang, Xuebao
    Cao, Haiou
    Zhou, Chenbin
    Ren, Xuchao
    Shen, Jiaoxiao
    Yu, Jiayan
    [J]. FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [5] Fault diagnosis method for machinery based on multi-source conflict information fusion
    Wei, Jianfeng
    Zhang, Faping
    Lu, Jiping
    Yang, Xiangfei
    Yan, Yan
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (11)
  • [6] Bearing fault diagnosis method based on multi-source heterogeneous information fusion
    Zhang, Ke
    Gao, Tianhao
    Shi, Huaitao
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (07)
  • [7] Synchronous generator fault diagnosis method based on MSK-CNN and multi-source electromechanical information fusion
    Ma M.-H.
    Hou Y.-J.
    Li Y.-G.
    He P.-K.
    Qi P.
    Wu Y.-C.
    [J]. Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2023, 27 (01): : 1 - 11
  • [8] Multi-Source Uncertain Information Fusion Method for Fault Diagnosis Based on Evidence Theory
    Mi, Jinhua
    Wang, Xinyuan
    Cheng, Yuhua
    Zhang, Songyi
    [J]. 2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,
  • [9] Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion
    Zeng, Xin
    Xiong, Xingzhong
    Luo, Zhongqiang
    [J]. INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2021, 67 (02) : 143 - 148
  • [10] Fault diagnosis using multi-source information fusion
    Fan, Xianfeng
    Zuo, Ming J.
    [J]. 2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2006, : 275 - 280