A Statistical Approach to Predict the Low Frequency Common Mode Current in Multi-Converter setups

Ballukja, E.; Niewiadomski, K.; Thomas, D.W.P.; Sumsurooah, S.; Sumner, M.; Bojarski, J.

Abstract

The aim of this paper is to explore a statistical approach to predict the distribution of the harmonics of common mode current in a setup consisting of N converters, knowing the common mode current for a single converter. To this end, we utilize Pearson's random walk approach in comparison with a simulation setup consisting of 4 DC/DC converters with their own DC sources. The two methods, compared with respect to a selected harmonic of the common mode current, show good agreement up to 10MHz - 501st harmonic of the 20kHz switching frequency. The arising mismatch could be due to limitations of our model as well as to computational errors.

Citation

Ballukja, E., Niewiadomski, K., Thomas, D., Sumsurooah, S., Sumner, M., & Bojarski, J. (2023, July). A Statistical Approach to Predict the Low Frequency Common Mode Current in Multi-Converter setups. Presented at 2023 IEEE Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMC+SIPI 2023, Grand Rapids, USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2023 IEEE Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMC+SIPI 2023
• Start Date: Jul 29, 2023
• End Date: Aug 4, 2023
• Acceptance Date: Jul 29, 2023
• Online Publication Date: Sep 12, 2023
• Publication Date: Jul 29, 2023
• Deposit Date: Jun 24, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 7-12
• Book Title: 2023 IEEE Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+ SIPI)
• ISBN: 979-8-3503-0977-5
• DOI: https://doi.org/10.1109/EMCSIPI50001.2023.10241644
• Public URL: https://nottingham-repository.worktribe.com/output/35158243
• Publisher URL: https://ieeexplore.ieee.org/document/10241644