Power harmonic and inter-harmonic detection based on fractional wavelet transform combined with variational modal...

Area of Science:

• Electrical Engineering
• Signal Processing

Background:

• Traditional power harmonic and inter-harmonic detection methods suffer from noise susceptibility and low accuracy, especially for inter-harmonics.
• Existing techniques like fractional wavelet transform (FRWT) and variational mode decomposition (VMD) have limitations when used independently.

Purpose of the Study:

• To propose a novel and robust method for detecting power harmonics and inter-harmonics.
• To address the limitations of existing methods, particularly noise interference and poor inter-harmonic detection accuracy.

Main Methods:

• A hybrid approach combining fractional wavelet transform (FRWT) for signal preprocessing and variational mode decomposition (VMD) for harmonic and inter-harmonic extraction.
• The FRWT-VMD algorithm integrates the strengths of both FRWT and VMD to overcome their individual drawbacks.

Main Results:

• The FRWT-VMD algorithm effectively mitigates noise interference, even under low signal-to-noise ratio conditions.
• High accuracy was achieved in detecting both harmonics and inter-harmonics in simulated power system signals.

Conclusions:

• The proposed FRWT-VMD method offers a powerful solution for accurate harmonic and inter-harmonic detection in power systems.
• This technique enhances the reliability of power quality monitoring by improving robustness against noise.