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Analysis of Harmonic and Interharmonic Components by Using an Improved Recursive Algorithm

Spectral leakage is a phenomenon that is considered a problem and occurs when Discrete Fourier Transform (DFT) is used as a tool to identify harmonic components in a frequency spectrum of electric signals, which contains asynchronous sampling or interharmonic components. It may cause errors in presented results that may affect signal analysis. Therefore, application of a technique or combination of techniques is necessary, in order to better characterize harmonic and interharmonic components and enable extraction of their representative factors. In this context, this research aims at estimating frequencies and amplitudes interharmonic present in a signal. This paper proposes a new approach method, based on Group-harmonic Power Minimizing (GPM) and Recursive Group-harmonic Power Minimizing (RGPM) algorithms. The new proposal establishes an identification threshold and is more accurate when compared to the IEC 61000-4-7 standard, recommended for this kind of problem as it detects not only the 5 Hz minimal spectral resolution, but also frequency components of intermediate location with noise. Results indicate a satisfactory characterization of predominant interharmonic components, with low deviation level, both in range and in associated frequency.