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Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
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Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
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Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz

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Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
Journal Article

Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz

2025
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Overview
The power system is evolving with the integration of new technologies, including electronic devices and renewable energy sources, which are increasingly used to support new applications, reduce dependence on fossil fuels, and drive system innovation. However, this shift brings a significant drawback: a reduction in power quality (PQ). The literature extensively discusses the impact of poor PQ on electrical assets and explores potential solutions to this new challenge. Building on this foundation, this paper introduces new PQ indices derived from existing metrics and validated on both synthetic and real signals to assess their effectiveness. The aim is to provide researchers and system operators with simple and efficient tools for the clear identification of PQ issues in monitored networks. These new indices are designed to be flexible and independent of acquisition conditions, making them suitable for a wide range of frequencies (e.g., 50 Hz–150 kHz) and applications. After an overview of the PQ landscape, the paper demonstrates the use of these indices on various voltage waveforms, including a case study from a measurement campaign. The promising results indicate that, when combined with existing indices, these new metrics can form a strong foundation for a deeper understanding and more accurate classification of PQ issues in power networks.