Amplitude computation of harmonic voltages based on Adaptive Comb filter in a smart grid system

Harmonics are a major source of pollution in power system networks. These harmonic current and voltage are to be estimated with great accuracy. Several methods exist for the estimation of harmonic voltage magnitude like FFT, FIR filters etc. But these methods have a common drawback of requiring high sampling frequency and difficulty in making them adaptive. Adaptive Comb filter is a potential solution to these problems. It is a cascade filter requiring a comparatively low sampling frequency and gives a comparatively more accurate result. In this paper, simulation results for various sampling frequencies of Adaptive Comb filter are presented. The results are compared with other methods like FFT and FIR filter using figure of merit like maximum absolute error (MAE) and mean square error (MSE). The amplitude computation scheme is proposed to be implemented on a suitable embedded platform.