Application of matching pursuits of power quality disturbance classification

To analyse power quality disturbance, the first thing is to classify disturbance. This paper presents a novel power quality disturbance classification method based on matching pursuits (MP) algorithm. The MP algorithm is used to decompose the atom dictionary. We design four coherent dictionaries by analysing characteristic of power quality disturbance, which simplifies the calculation of MP algorithm. Based on the coherent dictionaries, the fundamental frequency component (FFC) and disturbance component are extracted respectively. And the parameters of FFC and disturbance component are obtained. By analysing the relationship of energy in disturbance component and residual signal, the noise and the disturbance with little influence the FFC can be filtered. Simulation and real data results confirm the effectiveness of the proposed method, and obtaining accuracy with high signal-to-noise ratios.