Detection of Fault in Series Capacitor Compensated Double Circuit Transmission Line using Wavelet Transform

Gautam, Neha; Ali, Shoyab; Kapoor, Gaurav

doi:10.1109/gucon.2018.8675071

Cited by 27 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The WT has been applied variously in AC transmission and distribution systems. In [19][20][21][22][23][24], WT was applied to protect transmission lines. For distribution system protection, the WT was applied to microgrid protection [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Development of New Protection Scheme in DC Microgrid Using Wavelet Transform

Seo¹

2022

Energies

View full text Add to dashboard Cite

The demand for a low voltage direct current (LVDC) microgrid is increasing by the increase of DC-based digital loads and renewable resources and the rapid development of power electronics technology. For the stable operation of an LVDC microgrid, it is necessary to develop a protection method. In this paper, the new protection scheme considering the fault section is proposed using wavelet transform (WT) in an LVDC microgrid. The fault sections are classified into DC side of the alternating current (AC)/DC converter, DC/DC converter connected to photovoltaic (PV) system, DC line, and DC bus. The characteristics of fault current at each fault section are analyzed. Based on these analyses, the new protection scheme including the fault section estimation is proposed using WT. The proposed scheme estimates the fault section using the detail component after performing WT and sends the trip signal to each circuit breaker according to the fault section. The proposed protection scheme is verified through various simulations according to the fault region and fault current using electromagnetic transient program (EMTP)/ATPDraw and MATLAB. The simulation results show that the fault section is accurately determined, and the corresponding circuit breaker (CB) operations are performed.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of New Protection Scheme in DC Microgrid Using Wavelet Transform

Seo¹

2022

Energies

View full text Add to dashboard Cite

show abstract

“…Authors tested the technique using IEC 61850-7-420, 25 kV, 60 Hz model which is modeled using MATLAB. Fault detection has been carried out in SCCDCTL using wavelet transform (Gautam et al, 2018). HHT (Hilbert-Huang transform) has been applied for detecting single line to ground boundary faults in a 138 kV, six-phase transmission line (Kapoor, 2019).…”

Section: Introductionmentioning

confidence: 99%

Protection of wind park connected series capacitor compensated three-phase transmission line using RBWT

Kapoor¹

2020

Int. J. Eng. Sci. Tech

Self Cite

View full text Add to dashboard Cite

This paper proposes the RBWT (reverse biorthogonal-1.5 wavelet transform)-based fault recognition and faulty phase categorization technique for the protection of wind park connected series capacitor compensated three-phase transmission line (WPCSCCTPTL). The single side captured fault currents of the WPCSCCTPTL are used to evaluate the amplitudes of RBWT coefficients at fifth level. To authorize the performance of the proposed technique, a widespread collection of simulation studies have been done thus varying fault type, location, resistance, and switching time. In this work, the performance of the RBWT has been investigated for the evolving faults, the position of fault for the close-in relay faults is varied from 5 km up to 9 km, the position of fault for the far-end relay faults is varied from 195 km up to 199 km, faults at two different positions, the position of fault around the series capacitors are changed and for the variation in wind-turbine units. The benefit of RBWT is that it correctly detects all types of faults in WPCSCCTPTL by employing one-side fault current data only. It is also investigated that the proposed technique is robust to the variation in the fault factors of WPCSCCTPTL. Keywords: fault recognition, faulty phase categorization, three-phase transmission line protection, reverse biorthogonal-1.5 wavelet transform.

show abstract

“…In [5], authors employed WT as a fault classifier for the classification of faults in a 400-kV, 300-km-long two-terminal transmission line. In [6,8,9], authors applied WT for detecting faults on TLs. In [7], WHT has been introduced for the protection of SCCTL.…”

Section: Introductionmentioning

confidence: 99%