Ferroresonance overvoltage features extraction using nonlinear analytical technique

Ferroresonance is complicated phenomenon for its various modes. In this paper, two nonlinear features are extracted based on nonlinear analytical Technique. The features can be used to analyze the motion characteristics of the ferroresonance system of the overvoltage time series. The study on overvoltage acquired from a power substation shows that the feature is very useful for ferroresonance mode identification, especially for the quasi-periodical ferroresonance and chaotic ferroresonance.