Implementation of Voltage Sag Based Fault Localization Algorithm in Nepalese Distribution System Considering the Impact of Fault Resistances

Reliability is a significant challenge in the Nepalese distribution system, primarily due to the extensive lengths of distribution feeders, some of which span over 100 km, including all branches. In such long feeders, fault localization, particularly in cases of insulator puncture or tree contact, takes considerable time, delaying fault clearance and service restoration. This paper proposes a novel voltage sag-based fault localization algorithm tailored for the Nepalese distribution system. The algorithm utilizes both synchronized and non-synchronized time measurement devices to compare calculated and measured voltage sag errors for accurate fault distance estimation. The method was validated using simulations of a real Nepalese distribution system in OpenDSS and Python. Results demonstrate that the maximum error in calculated fault distances compared to actual fault locations was 3.01% for bolted faults. This approach provides a reliable and efficient solution for fault localization, significantly enhancing system reliability and fault response times in the Nepalese context.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-10
DOI
https://doi.org/10.5281/zenodo.14352454
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Voltage Sag Based Fault Localization Algorithm in Nepalese Distribution System Considering the Impact of Fault Resistances

Zenodo (CERN European Organization for Nuclear Research)
Power Systems Fault Detection
article

Implementation of Voltage Sag Based Fault Localization Algorithm in Nepalese Distribution System Considering the Impact of Fault Resistances

article en

Abstract

Reliability is a significant challenge in the Nepalese distribution system, primarily due to the extensive lengths of distribution feeders, some of which span over 100 km, including all branches. In such long feeders, fault localization, particularly in cases of insulator puncture or tree contact, takes considerable time, delaying fault clearance and service restoration. This paper proposes a novel voltage sag-based fault localization algorithm tailored for the Nepalese distribution system. The algorithm utilizes both synchronized and non-synchronized time measurement devices to compare calculated and measured voltage sag errors for accurate fault distance estimation. The method was validated using simulations of a real Nepalese distribution system in OpenDSS and Python. Results demonstrate that the maximum error in calculated fault distances compared to actual fault locations was 3.01% for bolted faults. This approach provides a reliable and efficient solution for fault localization, significantly enhancing system reliability and fault response times in the Nepalese context.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Power Systems Fault Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementation of Voltage Sag Based Fault Localization Algorithm in Nepalese Distribution System Considering the Impact of Fault Resistances · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS