Wang, L.; Zhang, Y.; Ali, M.S.; Chen, G.; Guerrero, J.M.; Vasquez, J.C. High-Frequency Modeling and Filter Design for PWM Drives with Long Cables. Energies 2021, 14, 1155, doi:10.3390/en14041155.
Wang, L.; Zhang, Y.; Ali, M.S.; Chen, G.; Guerrero, J.M.; Vasquez, J.C. High-Frequency Modeling and Filter Design for PWM Drives with Long Cables. Energies 2021, 14, 1155, doi:10.3390/en14041155.
Wang, L.; Zhang, Y.; Ali, M.S.; Chen, G.; Guerrero, J.M.; Vasquez, J.C. High-Frequency Modeling and Filter Design for PWM Drives with Long Cables. Energies 2021, 14, 1155, doi:10.3390/en14041155.
Wang, L.; Zhang, Y.; Ali, M.S.; Chen, G.; Guerrero, J.M.; Vasquez, J.C. High-Frequency Modeling and Filter Design for PWM Drives with Long Cables. Energies 2021, 14, 1155, doi:10.3390/en14041155.
Abstract
Aiming for the problems emerging in the PWM drive system with long cables, accurate modeling of power cables is the premise to predict and analyze the relevant phenomenon, and a proper filter design is the key solution to these problems. This paper proposes high-frequency cable models to represent the frequency-dependent characteristics, especially for the high-frequency resistance of the cable that is an easily overlooked factor but determines the damping of overvoltage. The proposed models can be used for accurately representing the cable parameters in a wide frequency range, and correctly simulating the differential mode (DM) overvoltage and common mode (CM) current, including the peak value, oscillation frequency and damping of the transient waveform. In addition, improved filter networks are proposed to suppress the DM voltage and CM current, with the merit of low losses, small volume and an excellent ability of suppressing overvoltage. The proposed cable models and the filter design have been validated in a 750W PWM drive system with 200m power cables.
Keywords
cable modeling; motor drives; filter design; DM overvoltage; CM current; PWM
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.