RECONSTRUCTION AND IDENTIFICATION AND CONTROL METHOD OF FERRORESONANCE OVERVOLTAGE BASED ON VOLTAGE TIME SERIES

Abstract

Ferroresonance overvoltage and over-current can be restrained using nonlinear dynamics. However, the ferroresonance simplified model, which cannot reflect the huge ferroresonance circuit in the grid precisely and cannot satisfy real-time analysis, is adopted in the traditional nonlinear control method. Owing to these shortcomings, the strategy of controlling ferroresonance overvoltage based on voltage time series is proposed. Based on the voltage time series analysis methods, the ferroresonance system is identified using the best embedding dimension and the best time delay obtained from the phase space reconstruction. Afterward, the feedback controller is designed based on the platform of the identified model. Results show that fundamental, subharmonic and chaotic ferroresonance overvoltage can all be controlled using the method presented in this paper even without the system parameters and the accurate system model. Therefore, the control strategy is generally more applicable.