Research on the mechanical state detection technology of high voltage isolation switch based on torque and angle

The isolation switch in Gas insulated Switchgear (hereinafter referred to as GIS) serves as the critical power equipment within the power grid system; however, an effective method for detecting the mechanical state of the isolation switch is hitherto lacking. Hence, this paper investigates the detection approach for the mechanical state of the GIS isolation switch. This paper focuses on the research of a model 252 kV GIS isolation switch, simulating typical mechanical faults such as rust sticking, closing not in place, and three-phase inconsistency. The study utilizes a wireless automatic torque wrench detection system to collect torque-angle data during the opening and closing process under various simulated mechanical conditions. Key feature information such as mean torque of stationary section, peak torque of rigid minute/junction point, and Angle of overrun torque in the torque-angle curve are extracted for analysis of the characteristic laws of operating torque and rotation angle under different mechanical states. Finally, a mechanical state detection method for GIS isolation switches based on characteristic parameters of torque and angle is proposed to provide reasonable suggestions for the operation and maintenance of isolation switchgear.

Authors

Publication Details

Published
2024-11-12
DOI
https://doi.org/10.1117/12.3049902
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the mechanical state detection technology of high voltage isolation switch based on torque and angle

Weiting Yu, C Liu, Yu Yan, Zhichao Li et al.
Electrical Fault Detection and Protection
article

Research on the mechanical state detection technology of high voltage isolation switch based on torque and angle

Weiting Yu, C Liu, Yu Yan, Zhichao Li, Wentao Zhang, Dexiang Li
article en

Abstract

The isolation switch in Gas insulated Switchgear (hereinafter referred to as GIS) serves as the critical power equipment within the power grid system; however, an effective method for detecting the mechanical state of the isolation switch is hitherto lacking. Hence, this paper investigates the detection approach for the mechanical state of the GIS isolation switch. This paper focuses on the research of a model 252 kV GIS isolation switch, simulating typical mechanical faults such as rust sticking, closing not in place, and three-phase inconsistency. The study utilizes a wireless automatic torque wrench detection system to collect torque-angle data during the opening and closing process under various simulated mechanical conditions. Key feature information such as mean torque of stationary section, peak torque of rigid minute/junction point, and Angle of overrun torque in the torque-angle curve are extracted for analysis of the characteristic laws of operating torque and rotation angle under different mechanical states. Finally, a mechanical state detection method for GIS isolation switches based on characteristic parameters of torque and angle is proposed to provide reasonable suggestions for the operation and maintenance of isolation switchgear.

Affordable and clean energy
Openalex Percentile: Top 82%
Electrical Fault Detection and Protection
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.

Research on the mechanical state detection technology of high voltage isolation switch based on torque and angle — Weiting Yu, C Liu, et al. · (2024) | TGRS Research Map | TGRS