Single Phase-to-Ground Faults Group Protection Algorithm Based on Zero-Sequence Current Correlation Coefficients for 6–35 kV Distribution Networks

Single phase-to-ground faults are predominant ones in 6–35 kV distribution networks with cable lines. The primary purpose of protection in such networks is to detect the fault occurrence and its location. However, it should be noted that not all algorithms function correctly in all possible operating modes. Most algorithms fail to identify the fault location due to intermittent arc faults. In underground distribution networks with a complex topology, the protection efficiency is known to decrease. This paper proposes a group protection algorithm based on the correlation coefficients of zero-sequence currents between adjacent feeders, implemented in the Matlab/Simulink environment. The algorithm has been developed based on the characteristics of zero-sequence current during single phase-to-ground faults with various types of neutral grounding. The developed algorithm allows for the identification of the moment a single phase-to-ground fault occurs in the distribution network, as well as the faulted feeder. The efficiency of the protection algorithm was verified using a model of a branched network with five feeders. During the study, three types of faults were modelled: steady and intermittent, according to two arc extinction theories (Petersen's and Petersen-Slepian's). Various sample rates of current were also tested to determine the correct operation of the algorithm within the device.

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/edm65517.2025.11096660
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single Phase-to-Ground Faults Group Protection Algorithm Based on Zero-Sequence Current Correlation Coefficients for 6–35 kV Distribution Networks

Malaria Research and Control
article

Single Phase-to-Ground Faults Group Protection Algorithm Based on Zero-Sequence Current Correlation Coefficients for 6–35 kV Distribution Networks

article en

Abstract

Single phase-to-ground faults are predominant ones in 6–35 kV distribution networks with cable lines. The primary purpose of protection in such networks is to detect the fault occurrence and its location. However, it should be noted that not all algorithms function correctly in all possible operating modes. Most algorithms fail to identify the fault location due to intermittent arc faults. In underground distribution networks with a complex topology, the protection efficiency is known to decrease. This paper proposes a group protection algorithm based on the correlation coefficients of zero-sequence currents between adjacent feeders, implemented in the Matlab/Simulink environment. The algorithm has been developed based on the characteristics of zero-sequence current during single phase-to-ground faults with various types of neutral grounding. The developed algorithm allows for the identification of the moment a single phase-to-ground fault occurs in the distribution network, as well as the faulted feeder. The efficiency of the protection algorithm was verified using a model of a branched network with five feeders. During the study, three types of faults were modelled: steady and intermittent, according to two arc extinction theories (Petersen's and Petersen-Slepian's). Various sample rates of current were also tested to determine the correct operation of the algorithm within the device.

Ural Federal University (RU), Danish Power Systems (Denmark) (DK)
Climate action
Openalex Percentile: Top 37%
Malaria Research and Control
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.