A Flexible Power Source-Based Method for Stator Ground Fault Detection in Large Generators

To address the issues of low sensitivity, high misjudgment rate, and insufficient adaptability in stator grounding fault detection in large generators with neutral-point non-effectively grounded systems, this paper proposes a stator ground fault detection method for large generators based on an externally applied flexible power source. Firstly, by flexibly regulating the neutral-point voltage, a fault-phase identification criterion is established. A phase selection method based on the admittance angle phase shift is introduced, where a 120° phase difference between the admittance angles of the faulty and non-faulty phases under neutral-point potential offset is utilized to construct a phase selection interval. This approach overcomes the failure of traditional voltage magnitude-based criteria in the presence of high-resistance grounding faults at the generator terminals. Secondly, during shutdown, a novel method is employed in which a low-frequency signal is injected using a flexible current source. Based on the current difference between the two ends of the fault branch and combined with a bisection-based measurement strategy, the method achieves rapid identification of the fault branch and precise location of the faulted stator bar. The proposed method is validated in the PSCAD simulation environment, and the results demonstrate that it can accurately identify the faulted phase and locate the fault, thereby improving the reliability of fault location.

Authors

Institutions

Publication Details

Published
2025-07-25
DOI
https://doi.org/10.1109/aceee66257.2025.11148939
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

A Flexible Power Source-Based Method for Stator Ground Fault Detection in Large Generators

Mengfei Xiu, Yan Gong, Pengyu Wang, Chenyang Li et al.
Power Systems Fault Detection
article

A Flexible Power Source-Based Method for Stator Ground Fault Detection in Large Generators

Mengfei Xiu, Yan Gong, Pengyu Wang, Chenyang Li, Linbo Xu
article en

Abstract

To address the issues of low sensitivity, high misjudgment rate, and insufficient adaptability in stator grounding fault detection in large generators with neutral-point non-effectively grounded systems, this paper proposes a stator ground fault detection method for large generators based on an externally applied flexible power source. Firstly, by flexibly regulating the neutral-point voltage, a fault-phase identification criterion is established. A phase selection method based on the admittance angle phase shift is introduced, where a 120° phase difference between the admittance angles of the faulty and non-faulty phases under neutral-point potential offset is utilized to construct a phase selection interval. This approach overcomes the failure of traditional voltage magnitude-based criteria in the presence of high-resistance grounding faults at the generator terminals. Secondly, during shutdown, a novel method is employed in which a low-frequency signal is injected using a flexible current source. Based on the current difference between the two ends of the fault branch and combined with a bisection-based measurement strategy, the method achieves rapid identification of the fault branch and precise location of the faulted stator bar. The proposed method is validated in the PSCAD simulation environment, and the results demonstrate that it can accurately identify the faulted phase and locate the fault, thereby improving the reliability of fault location.

Zhejiang Energy Research Institute (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 70%
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.

A Flexible Power Source-Based Method for Stator Ground Fault Detection in Large Generators — Mengfei Xiu, Yan Gong, et al. · (2025) | TGRS Research Map | TGRS