Estimation of Switching Transient Overvoltage Magnitude During Transmission Line Energization Using Multiresolution Analysis

The energization of an unloaded transmission line generates switching transient overvoltages, the magnitude of which is highly dependent on the point-on-wave at which the switching operation occurs. Multiresolution analysis (MRA) can be employed to extract time-domain information from such transient signals by decomposing them into low-frequency components, referred to as approximations, and high-frequency components, referred to as details. In this paper, an MRA-based algorithm is proposed for the estimation of switching transient overvoltage magnitude. The algorithm utilizes the Haar wavelet and its associated scaling function. Due to its simplicity and computational efficiency, the Haar wavelet serves as a powerful signal processing tool with significant potential for application in power system transient analysis. The primary contribution of this work is the introduction of a novel approach for estimating the magnitude of switching transient overvoltages during transmission line energization.