Abstract
Differential relays have faced challenges such as failure to detect the inrush current, inappropriate performance in high second harmonic faults, and maloperation when the current signal becomes noisy. Therefore, in this paper, a new method is proposed to tackle these challenges. The proposed method is based on the calculation of the distance between the sampled data obtained from the compressed sensing theory (CST). In this method, first the currents on both sides of the power transformers are sampled and a single signal is formed. In the next step, the obtained signal will be compressed by the proposed CST algorithm. Since Discrete Fourier Transform Matrix (DFTM) is used to implement CST, the output of the algorithm will be a signal consisting of complex numbers. Using the imaginary part of this signal, a detection index will be proposed. Choosing a threshold value for this index enables the proposed method to differentiate between types of faults and inrush currents. The proposed method has been implemented on DIgSILENT and MATLAB software. The results prove that the proposed method has the ability to quickly detect all types of faults, including faults with high second harmonics. In addition, this method is immune to signal noise.
Published Version
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