Reducing the data size of supraharmonic measurements to verify EMC compliance

For decades, power quality (PQ) data required large storage, typically 40-50 harmonic orders per channel, measured weekly. With the rise of supraharmonics, instruments now store up to 57 times more data. This paper presents a histogram-based method to reduce data storage by a factor of 533 for long-term monitoring and a benchmarkingPQat the utility-customer connection. Referencing IEC EMC coordination, the method provides equations for calculating supraharmonic compatibility and planning levels. It was applied at a metalworking shop where LED luminaires are damaged by supraharmonics every 3 months.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1486
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
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article

Reducing the data size of supraharmonic measurements to verify EMC compliance

Daniel Massicotte, R. Bergeron, Manouane Caza-Szoka, Philippe Blanchard
IET conference proceedings.
Power Line Communications and Noise
article

Reducing the data size of supraharmonic measurements to verify EMC compliance

Daniel Massicotte, R. Bergeron, Manouane Caza-Szoka, Philippe Blanchard
article en

Abstract

For decades, power quality (PQ) data required large storage, typically 40-50 harmonic orders per channel, measured weekly. With the rise of supraharmonics, instruments now store up to 57 times more data. This paper presents a histogram-based method to reduce data storage by a factor of 533 for long-term monitoring and a benchmarkingPQat the utility-customer connection. Referencing IEC EMC coordination, the method provides equations for calculating supraharmonic compatibility and planning levels. It was applied at a metalworking shop where LED luminaires are damaged by supraharmonics every 3 months.

IET conference proceedings.Vol. 2025(14)
Université du Québec à Trois-Rivières (CA)
Openalex Percentile: Top 71%
Power Line Communications and Noise
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