Adaptive single pole auto-reclosing using discrete wavelet transform

Abstract

SUMMARYThis paper proposes a new algorithm for adaptive single pole auto-reclosing (SPAR) using discrete wavelet transform (DWT). The faulted phase voltage signal is captured at a sampling rate of 2.5 kHz. The sym8 wavelet function is used to decompose the signal into level 1 and to define an index function (INDF), which is obtained from the sum of absolute values of detail coefficients of the captured signal at the level 1 resolution. Finally, a decision function (DEF) is defined by computing the second derivative of the INDF. By evaluating the sign of the DEF, transient (arcing) faults are distinguished from permanent faults and also the secondary arc extinction instant can be identified. The significant advantage of the proposed algorithm is that it does not require any threshold level and therefore its performance is independent of fault location, line parameters and operating conditions. Furthermore, it can be used in transmission lines with reactor compensation. The proposed method has been successfully tested under a variety of fault location and load angle on a 400 kV overhead line, with and without reactor compensation, using the Electro-Magnetic Transient Program. The test results validate the algorithm ability in distinguishing between arcing and permanent faults and determining the instant of secondary arc extinction.

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

“…Many of the methods proposed in the literature are based on the increase of THD during the secondary arc and the sharp decrease after the fault clearance. In the presence of renewable resources, many of these methods lose their ability to function properly due to the lack of THD reduction after fault clearance [4][5][6][7][8][9][10]. The proposed method does not use the harmonics in voltage to calculate the criterion, and in addition, due to the high capability of the HHT method, the proposed method can have a correct and fast performance regardless of the high penetration of renewable resources in the power system and THD value.…”

“…After the fault clearance, the values of these harmonics decrease and will ideally reach zero. The approaches presented in [4][5][6][7][8][9][10] calculated the harmonic content of the faulty phase voltage or healthy phase currents using various signal processing techniques including time-time (TT) transform, discrete wavelet transform, wavelet packet, and total harmonic distortion (THD). Finally, the fault nature and the moment of extinction of the secondary arc were detected using the calculated criterion values and changings.…”

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

“…It is also possible to find the discrete wavelet transform (DWT) and the wavelet singularity considering several mother wavelets to classify the fault type [25][26][27][28][29][30][31][32][33][34]. Although those methods have acceptable behavior, their function and reliability are influenced by different conditions and parameters that must be chosen appropriately.…”

A review of single phase adaptive auto-reclosing schemes for EHV transmission lines

“…The use of SPAR manoeuvre is most appropriate for single-phase faults, since the transmission lines can still permit more than half of their nominal power, hence improving the system consistency and stability [2]. The SPAR methodologies can be divided into two classes: traditional [2][3][4][5][6] and adaptive [7][8][9][10] autoreclosing.…”