A New Power Swing Detection Method Based on Hilbert Transform

The paper proposes a new method based on Hilbert transform to detect power swings and faults occurring during them. The proposed method operates independently from the system parameters. As well, it can detect different types of power swings, including stable, unstable, and multi-mode power swings, and can also differentiate the power swing from the faults for blocking or unblocking the distance relay. In order to evaluate the proposed method, various types of power swing and simultaneous faults are simulated in the DIgSILENT software package. Then, using the matrix data obtained from the current signals, the proposed algorithm is implemented in the Matlab software package using the Hilbert transform. The results show that the proposed method can detect different types of power swings successfully. In addition, it is shown that the proposed method operates very fast. Besides, when a fault occurs simultaneously with the power swing, it unblocks the relay as soon as possible. This method is also implemented practically on a distance relay and is tested by a relay tester device made by Vebko Amirkabir Knowledge-Intensive Company. The results obviously show that the proposed method operates better than conventional industrial methods.