Application of staggered undersampling to power quality monitoring

In this paper we address the issue of monitoring power quality With limited sensing and computational resources. The proposed staggered sampling metho dology utilizes close-to-periodic nature of waveforms of interest. The spar se samples obtained in our scheme are reordered (shuffled) before FFT is us ed for spectral calculations. We provide a complete characterization of the shuffling process in time domain and of the dual inverse shuffling in the frequency domain. The methodology is applied to a number of cases of intere st in power quality, demonstrating that harmonics of the fundamental freque ncy can be recovered without error, and that effective descriptions are pos sible for flicker, sag, interharmonics, and noisy measurements.