Automatic identification of power quality signal of distribution network based on HHT and RVM

Abstract

The access of distributed energy sources puts forward higher requirements on the power quality of the distribution network. This paper proposes an automatic identification method for power quality signals based on HHT and RVM. First, eight common power quality disturbance signal models are compiled, and sample signals are extracted through HHT Use MATLAB to simulate the disturbance signal, and then use the collected sample signals to train the seven RVMs, remember the feature quantities, and finally use the seven trained RVM classifiers to classify the test signals. The example data shows This method has short recognition time and high accuracy rate, and is suitable for the recognition of power quality signals.