Abstract
T he inrush current occurs primarily when a transformer is energized. The magnitude of
inrush current may be as high as ten times of transformer rated current which causes malfunction
of differential protection system. Therefore, it is necessary to discriminate inrush current from
faults. In this paper, a new approach of discrimination between inrush current and internal fault
currents is proposed based on wavelet packet transform (WPT). The selection of optimal mother
wavelet and the optimal number of level of resolution is carried out using the minimum
description length (MDL) criteria. The proposed approach is tested for signal tripping using data
collected from a simulink model of power three phase transformer for different cases that
included inrush, internal fault currents and external fault currents. The simulated results clearly
show that the proposed approach facilitates the accurate discrimination between inrush and fault
currents in differential transformer protection.
inrush current may be as high as ten times of transformer rated current which causes malfunction
of differential protection system. Therefore, it is necessary to discriminate inrush current from
faults. In this paper, a new approach of discrimination between inrush current and internal fault
currents is proposed based on wavelet packet transform (WPT). The selection of optimal mother
wavelet and the optimal number of level of resolution is carried out using the minimum
description length (MDL) criteria. The proposed approach is tested for signal tripping using data
collected from a simulink model of power three phase transformer for different cases that
included inrush, internal fault currents and external fault currents. The simulated results clearly
show that the proposed approach facilitates the accurate discrimination between inrush and fault
currents in differential transformer protection.
Keywords
Inrush and Faults Current
Transformer Protection
Wavelet Packet Transform