Online Monitoring of Zinc Oxide Lightning Arrester for Electromagnetic Signal Interference

The metal lightning arrester in a substation is an important device for protecting the safe operation of the power grid and preventing atmospheric overvoltage. To monitor the operation status of zinc oxide lightning arrester in real time, this paper proposes a MOA online monitoring method, which fully considers the electromagnetic interference noise on voltage acquisition and conducts real-time online monitoring of MOA. Specifically, the empirical mode decomposition method is proposed to remove the electromagnetic noise in the original voltage signal and eliminate the electromagnetic interference. By using the harmonic analysis method to implement the fast Fourier transform operation on the voltage and current signal, the calculation is simplified, and the resistance, fundamental wave resistance and third harmonic current of the arrester are obtained. Experiments show that the method can effectively remove electromagnetic noise and useless information, retain effective information, and effectively monitor the running state of zinc oxide arrester. It has been proven that the method proposed in this article has good performance in monitoring the operation of zinc oxide lightning arresters and is more suitable for solving such problems.

Authors

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991772
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Online Monitoring of Zinc Oxide Lightning Arrester for Electromagnetic Signal Interference

Shuang Yu, Chaoliang Qi, Song Chen, Zhou Fan et al.
Magnetic Field Sensors Techniques
article

Online Monitoring of Zinc Oxide Lightning Arrester for Electromagnetic Signal Interference

Shuang Yu, Chaoliang Qi, Song Chen, Zhou Fan, Binglin Cai, Yuzhe Bao, Liuhuan Liang
article en

Abstract

The metal lightning arrester in a substation is an important device for protecting the safe operation of the power grid and preventing atmospheric overvoltage. To monitor the operation status of zinc oxide lightning arrester in real time, this paper proposes a MOA online monitoring method, which fully considers the electromagnetic interference noise on voltage acquisition and conducts real-time online monitoring of MOA. Specifically, the empirical mode decomposition method is proposed to remove the electromagnetic noise in the original voltage signal and eliminate the electromagnetic interference. By using the harmonic analysis method to implement the fast Fourier transform operation on the voltage and current signal, the calculation is simplified, and the resistance, fundamental wave resistance and third harmonic current of the arrester are obtained. Experiments show that the method can effectively remove electromagnetic noise and useless information, retain effective information, and effectively monitor the running state of zinc oxide arrester. It has been proven that the method proposed in this article has good performance in monitoring the operation of zinc oxide lightning arresters and is more suitable for solving such problems.

State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 72%
Magnetic Field Sensors Techniques
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.

Online Monitoring of Zinc Oxide Lightning Arrester for Electromagnetic Signal Interference — Shuang Yu, Chaoliang Qi, et al. · (2024) | TGRS Research Map | TGRS