Example for Power System Harmonic Detection

This practical example demonstrates how to perform harmonic detection in power systems. Harmonic detection is a crucial aspect of power system analysis, as it enables engineers to identify harmonic-related issues and develop effective solutions. In this example, we explore modern techniques for harmonic analysis, including digital signal processing and spectral analysis methods. The implementation typically involves using Fast Fourier Transform (FFT) algorithms to convert time-domain voltage/current signals into frequency-domain spectra, where harmonic components can be quantified. We detail the step-by-step procedure for harmonic detection: starting with signal acquisition using sensors and analog-to-digital converters, followed by preprocessing techniques like windowing functions (e.g., Hamming or Hanning windows) to minimize spectral leakage. The core analysis phase involves applying FFT algorithms to calculate harmonic magnitudes and phases, with threshold-based detection logic to identify significant harmonic components. Finally, we examine real-world application cases demonstrating how harmonic detection helps improve power quality, prevent equipment damage, and optimize energy efficiency in industrial and commercial power systems.