Resampled data splicing method based on continuous single-cycle used in power quality analysis

Abstract

When analyzing the spectrum of sampling data received from analog-to-digital converter, it usually could not satisfy the constraint that the length of the signal should be an integer power of 2 for FFT calculation. The common approach is to increase the sampling time or to fill the zeros after the signal, but these methods would cause the spectrum leakage or increase the time consuming for analysis. Therefore, this paper proposes an improved power quality data processing algorithm based on signal interpolation resample for continuous single cycle, and compares it with the common methods. The simulation results show that the improved algorithm can accurately capture the real frequency characteristics of the signal without increasing the signal sampling load or the amount of calculation.