Comparison of frequency estimation algorithms for power quality assessment

In this paper, the comparison between several frequency estimation algorithms for power quality frequency assessment is shown. These include spectral, adaptive filtering, mixed time and frequency domain, least-squares and eigenvector decomposition algorithms. The different algorithms’ results are compared for three typical power measurement situations that include harmonics and noise. The main objective is to select the most promising algorithms for implementation in a digital signal processor, in the context of typical power quality frequency disturbance measurements.