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Laboratory Measurements for Machine Learning-based Modelling of LV Harmonic Sources
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| Author(s) |
Meriem ZANOUN, Éric LABOURÉ, Dung Le TRUNG, Mohamed BENSETTI, Xavier Xianjun YANG, Sébastien GOURAUD |
| Abstract |
As renewable energy grows, power electronic converters increase harmonic disturbances, affecting power quality. This study introduces a novel modelling methodology based on machine learning and laboratory databases for harmonic current prediction. A model using electric vehicle charger data demonstrates promising performance. Integrating these models into low-voltage network improves frequency-domain simulation and enhances grid analysis. |
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| Filename: | 0137-epe2025-full-13314279.pdf |
| Filesize: | 1.765 MB |
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| Type |
Members Only |
| Date |
Last modified 2025-08-31 by System |
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