Research on Harmonic Frequency Measurement Algorithm of Power System Based on Wavelet Transform
Harmonic frequency measurement of the power system is the key link to ensure the power quality and the stable operation of the system.Traditional harmonic detection methods such as simulated bandpass or band resistance filter,based on Fourier transform and instantaneous reactive power theory,perform well under specific conditions,but still have deficiencies in real-time tracking and accuracy requirements.With the improvement of computing power and the development of mathematical tools,the methods based on wavelet transform show their unique advantages in harmonic analysis.We study the application of wavelet transform in harmonic frequency measurement and propose a real-time tracking algorithm which can effectively identify and measure the harmonic frequency in the power system.Through simulation experiments,the algorithm shows high accuracy and reliability in complex power environment.The experimental results show that wavelet transform not only improves the accuracy of harmonic detection,but also has strong anti-interference ability,which provides a more effective and real-time solution for harmonic analysis of power system.
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