摘要
随着新型电力系统和电动汽车的迅速发展，变频电机已逐渐成为高效能源转换的关键设备。定子绕组匝绝缘故障是导致变频电机故障的根本原因之一。对匝绝缘健康状况的在线监测可以及时发现潜在的安全风险，但面临着匝绝缘劣化特性较弱的挑战。本研究提出了一种利用分数阶傅里叶变换和改进型梅尔滤波器（FrFT-Mel）来评估变频电机匝绝缘状态的新方法。首先，在分数域内分析了高频开关振荡电流对匝绝缘变化的灵敏性。随后，设计了一种改进型梅尔滤波器，并根据电机共模阻抗谐振点的固有特征专门设计了其结构和参数。最后，提出了变频电机匝绝缘状态的评估指标。在一台3千瓦永磁同步电机（PMSM）上的实验结果表明，与传统的傅立叶变换方法相比，所提出的FrFT-Mel方法显著提高了匝绝缘状态感知的灵敏度，提高了约五倍。
High-sensitive state perception method for inverter-fed machine turn insulation based on FrFT-Mel
基于FrFT-Mel的高灵敏变频电机匝绝缘状态感知方法
Ruitian Fan, Xing Lei, Tao Jia, Menglong Qin, Hao Li, Dawei Xiang
1.College of Electrical Power Engineering,Shanghai University of Electric Power,Shanghai 200090,P.R.China
2.State Grid Shanghai Municipal Electric Power Company,Shanghai 200437,P.R.China
3.State Grid Technology College,Shandong 250002,P.R.China
4.College of Electronics and Information Engineering,Tongji University,Shanghai 201804,P.R.China
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Abstract
Keywords
State perception;Turn insulation;Switching oscillation;Fractional Fourier transform;Mel filter
Fig. 1 Path diagrams of three primary HF oscillatory modes of switching currents and simplified HFCM equivalent circuit of an electric machine
Fig. 2 Typical common-mode impedance profile of an electric machine
Fig. 3 Time, frequency, and fractional domain of switching oscillation current
Fig. 4 Distribution of a conventional Mel filter bank
Fig. 5 Distribution of an improved Mel filter bank
Fig. 6 Schematic diagram of the procedure for inverter-fed machine turn insulation state sensing system
Fig. 7 Setup of inverter-fed machine turn insulation state perception test bench
Fig. 8 Measured common-mode impedance curve of the tested PMSM
Fig. 9 Waveform of the PMSM during normal operation (PWM voltage 200 V/div, Switching oscillation current 1 A/div)
Fig. 10 Fractional Fourier spectrum of single switch oscillates
Fig. 11 Optimal fractional order analysis
Fig. 12 Improved Mel filter group distribution diagram
Fig. 13 Improved Mel filter filtering effect diagram
Fig. 14 Comparison of switching oscillation current across various degradation states
Fig. 15 The extracted MAE at different Cf
Fig. 16 Sensitivity comparison results under different methods
本文引文信息
Fan R T, Lei X, Jia T, et al. (2023) High-sensitive state perception method for inverter-fed machine turn insulation based on FrFT-Mel, Global Energy Interconnection, 7(2): 155-166
范瑞天，雷兴，贾涛等 (2023) 基于FrFT-Mel的高灵敏变频电机匝绝缘状态感知方法. 全球能源互联网（英文）, 7(2): 155-166
Biographies
Ruitian Fan
Ruitian Fan was born in Shandong,China,in 1998.He received the B.S.degree in electrical engineering from Qilu University of Technology,Shandong,China.Currently,he is studying for M.S.degree at the Shanghai University of Electric Power.His main research interest includes condition monitoring of electric machine insulation.
Xing Lei
Xing Lei received M.S.degree at North China Electric Power University in 2006,and received Ph.D.degree at Shandong University in 2012.He is working in State Grid Shanghai Municipal Electric Power Company.His research interests include power system automation,equipment maintenance.
Tao Jia
Tao Jia received M.S.degree at Shandong University in 2009.He is working in State Grid Technology College.His research interests include power system automation,substation operation and maintenance.
Menglong Qin
Menglong Qin received his B.S.degree in Electrical Engineering and Automation from Jiangsu University,Jiangsu,China,and is currently pursuing his M.S.degree at Shanghai University of Electric Power,Shanghai,China,where his main research focus is on condition assessment and inspection of power cables.
Hao Li
Hao Li received the Ph.D.degree in control science and engineering from Tongji University,Shanghai,China,in 2016.Currently,he is working as an Associate Professor at College of Electrical Engineering in Shanghai University of Electric Power,Shanghai,China.His main research interests include condition monitoring of power electronics system.
Dawei Xiang
Dawei Xiang received the Ph.D.degree in electrical engineering from Chongqing University,Chongqing,China,in 2016.Currently,he is working as an Associate Professor in Tongji University of Electric Power,Shanghai,China.His main research interests include condition monitoring of power electronics system and electric machine control.
编辑：王彦博
审核：王 伟
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