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A single-ended traveling wave based fault location method using DWT in hybrid parallel HVAC/HVDC overhead transmission lines on the same tower.

Authors :
Fayazi, Mohammad
Joorabian, Mahmood
Saffarian, Alireza
Monadi, Mehdi
Source :
Electric Power Systems Research. Jul2023, Vol. 220, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Presenting a single end-based fault location method for hybrid parallel HVAC/HVDC overhead transmission lines (HPOTL). • Accurate modeling of HPOTL considering electromagnetic coupling between AC and DC lines. • Low sampling frequency and high accuracy in fault location estimation. • Determining the faulty half of transmission line using a robust method. • The proposed method is robust and independent of fault resistance, noise and fault angle. In this paper, a single ended traveling wave based fault location method is presented for Hybrid Parallel HVAC/HVDC Overhead Transmission Lines (HPOTLs) on the same tower using Discrete Wavelet Transform (DWT). In HPOTLs, the AC and DC transmission lines are adjacent to each other from the sending to the receiving end of the lines and there is electromagnetic coupling between them. Fault detection and classification algorithms in HPOTLs are presented in another paper. Therefore, in order to summarizing, in this paper, it is assumed that the fault is detected in the HVAC or/and HVDC lines and faulty line is identified. HPOTL faults include AC faults, DC faults and AC/DC intersystem faults. AC and DC voltage signals on sending end of the transmission line with a sampling frequency of 100 kHz are used for fault location in this paper. In order to minimize the noise effect, the squared wavelet transform coefficients (WTC2) is used for proposed fault location method. Finally, Bewley-Lattice diagrams are checked for the traveling wave pattern and locate the fault. At the end of paper, it has been shown that the proposed method has high accuracy, noise immunity, robustness against fault inception angles, and high impedance faults. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787796
Volume :
220
Database :
Academic Search Index
Journal :
Electric Power Systems Research
Publication Type :
Academic Journal
Accession number :
163657073
Full Text :
https://doi.org/10.1016/j.epsr.2023.109302