Wavelet Transform and Artificial Intelligence for Unbalanced Current Protection of 230kV Capacitor Switching Transient Inrush Current

Author(s):  
Chaichan Pothisarn ◽  
Atthapol Ngaopitakkul
2014 ◽  
Vol 65 (3) ◽  
pp. 144-150 ◽  
Author(s):  
Alireza Sedighi

Abstract An efficient procedure for classification of transient phenomena in distribution systems is proposed in this paper. The proposed method has been applied to classify some transient phenomena such as inrush current, load switching, capacitor switching and single phase to ground fault. The new scheme is based on wavelet transform algorithm. All of the events for feature extraction and test are simulated using Electro Magnetic Transient Program (EMTP). Results show high accuracy of proposed method.


2019 ◽  
Vol 8 (3) ◽  
pp. 7627-7630

This paper presents wavelet transform method for the analysis of differential currents of power transformer which can act as an accurate classifier between magnetizing inrush current and internal faults to avoid the needless tripping of circuit breaker. The differential protection scheme occasionally mal – operate whenever magnetizing inrush occurs in power transformer. The aim is to reduce the rate and time duration of undesired outages of power transformer. This includes the necessities of reliability with zero mal – operation of differential relay. The result shows higher operating speed with less fault clearing time. Wavelet Transform is employed for the analysis of transient signals under various conditions, which extracts data from signals in time and frequency domain simultaneously. The simulation is done in MATLAB environment.


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