Single-Ended Fault Detection and Fault Location in Transmission Lines Using Approximate Derivative
Özet
Fault location in power transmission lines (PTLs) relies on impedance or traveling wave (TW) principles. TW approaches offer superior accuracy and high robustness against fault resistance. While multi-ended methods require precise terminal synchronization, single-ended TW (SETW) methods utilize measurements from one terminal, requiring accurate distinction of reflected waves. This study employs the computationally efficient approximate derivative (AD)—the difference between consecutive samples—for SETW fault detection and location. Normally near zero, the AD of modal signals produces sharp transitions during faults. Comparing AD output to a threshold achieves fault detection. The AD then identifies arrival times of the incident and reflected TWs. When using TW theory to distinguish reflections from the fault point and remote end, the fault distance is calculated from their arrival time difference. Validated through 293 diverse ATP simulated fault scenarios, the approach delivered highly accurate results despite using a lower sampling rate than established methods, utilizing an exceptionally short data window—only 2.03 ms for a 300 km line. Finally, operational boundaries for the signal-to-noise ratio (SNR) in noisy conditions are established.
Anahtar Kelimeler
- Scopus
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- WoS
- 0
- OpenAlex
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Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Akdağ, Mustafa | |
| dc.contributor.author | Mamiş, Mehmet Salih | |
| dc.contributor.author | Akmaz, Düzgün | |
| dc.date.accessioned | 2026-10-28T14:54:06.365271173Z | |
| dc.date.available | 2026-10-28T14:54:06.365271173Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Fault location in power transmission lines (PTLs) relies on impedance or traveling wave (TW) principles. TW approaches offer superior accuracy and high robustness against fault resistance. While multi-ended methods require precise terminal synchronization, single-ended TW (SETW) methods utilize measurements from one terminal, requiring accurate distinction of reflected waves. This study employs the computationally efficient approximate derivative (AD)—the difference between consecutive samples—for SETW fault detection and location. Normally near zero, the AD of modal signals produces sharp transitions during faults. Comparing AD output to a threshold achieves fault detection. The AD then identifies arrival times of the incident and reflected TWs. When using TW theory to distinguish reflections from the fault point and remote end, the fault distance is calculated from their arrival time difference. Validated through 293 diverse ATP simulated fault scenarios, the approach delivered highly accurate results despite using a lower sampling rate than established methods, utilizing an exceptionally short data window—only 2.03 ms for a 300 km line. Finally, operational boundaries for the signal-to-noise ratio (SNR) in noisy conditions are established. | |
| dc.description.sponsorship | This research received no external funding. | |
| dc.identifier.articlenumber | 2591 | |
| dc.identifier.doi | 10.3390/electronics15122591 | |
| dc.identifier.issn | 2079-9292 | |
| dc.identifier.issue | 12 | |
| dc.identifier.scopus | 2-s2.0-105042737039 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/munzur/1337 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:001802200500001 | |
| dc.language.iso | en | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.ispartof | Electronics (Switzerland) | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | approximate derivative (AD) | |
| dc.subject | fault detection | |
| dc.subject | fault location | |
| dc.subject | transmission line faults | |
| dc.subject | traveling waves (TWs) | |
| dc.subject.classification | Computer Science, Information Systems | |
| dc.subject.classification | Engineering, Electrical & Electronic | |
| dc.subject.classification | Physics, Applied | |
| dc.subject.classification | Computer Science | |
| dc.subject.classification | Engineering | |
| dc.subject.classification | Physics | |
| dc.subject.other | Electric fault location | |
| dc.subject.other | Electric lines | |
| dc.subject.other | Location | |
| dc.subject.other | Signal to noise ratio | |
| dc.subject.other | Wave transmission | |
| dc.subject.other | Approximate derivative | |
| dc.subject.other | Approximate derivatives | |
| dc.subject.other | Arrival time | |
| dc.subject.other | Faults detection | |
| dc.subject.other | Power transmission lines | |
| dc.subject.other | Single-ended | |
| dc.subject.other | Transmission line faults | |
| dc.subject.other | Transmission-line | |
| dc.subject.other | Traveling wave | |
| dc.subject.other | Travelling waves | |
| dc.subject.other | Fault detection | |
| dc.title | Single-Ended Fault Detection and Fault Location in Transmission Lines Using Approximate Derivative | |
| dc.type | Article | |
| rdl.citation.openalex | 0 | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.oa.status | gold | |
| rdl.oa.url | https://doi.org/10.3390/electronics15122591 | |
| rdl.scopus.quartile | Q2 | |
| rdl.sdg | SDG09 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |

