Abstract:

In power quality disturbance signal analysis, traditional signal processing methods are based on Nyquist sampling theorem. Sampling of huge amount data and sampling time are long, wasting sampling resources. The CS(Compressed Sensing) is put foruard in the application of the power quality disturbance signal analysis. Compressed sensing algorithm is not based on the Nyquist sampling theorem. Sampling and compression are made at the same time reduceing the amount of data collected and sampling rate. Based on compressed sensing a complete dictionary design, realized the compressed sensing d
etection of multiple power quality disturbance signals at the same time, also has realized the compressed sensing signal on the one dimensional and two dimensional reconstruction. And the reconstruction of power quality disturbance signal analysis. Experimental results show that compared with the traditional signal processing method of power quality disturbance, the effect of the algorithm in the amount of sampling data, refactoring has improved, the reconstructed signal error smaller and more accurate analysis of the signal.

Key words: compressed sensing(CS), power quality, disturbance signal, dictionary, analysis