Adaptive Overhead Transmission Lines Auto-Reclosing Based on Hilbert–Huang Transform

Arman Ghaderi Baayeh and Navid Bayati
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Arman Ghaderi Baayeh: Department of Electrical Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Kurdistan 66177-15175, Iran
Navid Bayati: Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark

Energies, 2020, vol. 13, issue 20, 1-15

Abstract: This paper presents a reliable and fast index to detect the instant of arc extinction for adaptive single-pole automatic reclosing (ASPAR). The proposed method is a simple technique for ASPAR on shunt compensated transmission lines using the Hilbert–Huang Transform (HHT). The HHT method is a combination of the empirical mode decomposition (EMD) and the Hilbert transform (HT). The first intrinsic mode function (IMF1) decomposed by EMD, which contains high frequencies of the faulty phase voltage, was used to calculate the proposed index. HT calculates the first IMF spectrum in the time-frequency domain. The presented index is the sum of all frequency contents below 55 Hz, which remains very low until the fault clearance. The proposed method uses a global threshold level and therefore no adjustment is needed for different transmission systems. This method is effective for various system configurations including different fault locations, line loading, and various shunt reactor configurations, designs, compensation rates, and placement. The performance of the method was verified using 324 test cases simulated in electromagnetic transient program (EMTP) related to a 345 kV transmission line. For all the test cases, the algorithm successfully operated with an average reclosing time delay of 32 ms.

Keywords: adaptive auto-reclosing; power system protection; EV transmission lines; transient fault; Hilbert–Huang transform (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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