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<p>This paper presents a technique to characterize, extract, and analyse harmonic and interharmonic components in electrical power system (EPS) voltage signals. The contributions include an adaptive threshold that optimizes the number of signal samples. In addition, the treatment of amplitudes with frequencies very close to each other is performed to solve the problem that can arise when the threshold selects a high number of samples due to spectral leakage. The following frequency concerning a target frequency is defined to find the search direction, and a new correction term for the frequency drift is proposed. The methodology was validated with actual measurements and with an extensive set of synthetic signals with and without noise, created according to recommendations of national and international standards. The results demonstrate effective component characterization and high-fidelity signal reconstruction, offering a practical tool for extracting harmonic and interharmonic components from voltage signals.</p>

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A Recursive and Adaptive Algorithm for Harmonic and Interharmonic Analysis in Electrical Power Systems

  • 期刊论文

  • 发表日期：

    2025年5月23日

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  • Liz Ferreira,
  • Carlos Beuter,
  • Alessandra Hoffmann,
  • Mário Oleskovicz

摘要

This paper presents a technique to characterize, extract, and analyse harmonic and interharmonic components in electrical power system (EPS) voltage signals. The contributions include an adaptive threshold that optimizes the number of signal samples. In addition, the treatment of amplitudes with frequencies very close to each other is performed to solve the problem that can arise when the threshold selects a high number of samples due to spectral leakage. The following frequency concerning a target frequency is defined to find the search direction, and a new correction term for the frequency drift is proposed. The methodology was validated with actual measurements and with an extensive set of synthetic signals with and without noise, created according to recommendations of national and international standards. The results demonstrate effective component characterization and high-fidelity signal reconstruction, offering a practical tool for extracting harmonic and interharmonic components from voltage signals.