Reconstruction of switching overvoltage waveform measuring in a 500kV substation using electro-optical E-field sensor

Electro-optical E-field sensors show great potential for substation voltage detection due to their wide frequency bandwidth and easy maintenance. However, in substations of 500kV and below, the coupling signals of adjacent conductors cannot be ignored due to the large number of outgoing lines and compact electrical structure. The existing decoupling method often results in a high transient overvoltage amplitude, making it challenging to provide engineering application. Therefore, a new overvoltage decoupling method has been developed to consider the influence of neighboring equipment and line operating voltages. This method utilizes the sensor waveform of the line to be measured before closing to calculate the matrix of coupling coefficients of the adjacent conductors in order to isolate their influence. Measurements of voltage waveforms during breaking and closing were conducted in a 500kV substation. The decoupled waveforms were compared with voltage measured by CVT and existing decoupling methods. The results demonstrate that electro-optical sensors have a wider frequency bandwidth than CVTs. Furthermore, the background signals of adjacent conductors can reach up to 30% of the steady-state amplitude of the measured signal, causing a decoupling error exceeding 100% in traditional methods. Compared with existing decoupling methods, the proposed method more effectively eliminates the influence of coupling signals from adjacent wires, resulting in more accurate reconstruction of transient voltages.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991510
Primary Topic
Magneto-Optical Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Reconstruction of switching overvoltage waveform measuring in a 500kV substation using electro-optical E-field sensor

Chen Shen, Hengxin He, Chang Liu, Ying Chen et al.
Magneto-Optical Properties and Applications
article

Reconstruction of switching overvoltage waveform measuring in a 500kV substation using electro-optical E-field sensor

Chen Shen, Hengxin He, Chang Liu, Ying Chen, Yang Xu, Yang Chen, Siyuan Xie
article en

Abstract

Electro-optical E-field sensors show great potential for substation voltage detection due to their wide frequency bandwidth and easy maintenance. However, in substations of 500kV and below, the coupling signals of adjacent conductors cannot be ignored due to the large number of outgoing lines and compact electrical structure. The existing decoupling method often results in a high transient overvoltage amplitude, making it challenging to provide engineering application. Therefore, a new overvoltage decoupling method has been developed to consider the influence of neighboring equipment and line operating voltages. This method utilizes the sensor waveform of the line to be measured before closing to calculate the matrix of coupling coefficients of the adjacent conductors in order to isolate their influence. Measurements of voltage waveforms during breaking and closing were conducted in a 500kV substation. The decoupled waveforms were compared with voltage measured by CVT and existing decoupling methods. The results demonstrate that electro-optical sensors have a wider frequency bandwidth than CVTs. Furthermore, the background signals of adjacent conductors can reach up to 30% of the steady-state amplitude of the measured signal, causing a decoupling error exceeding 100% in traditional methods. Compared with existing decoupling methods, the proposed method more effectively eliminates the influence of coupling signals from adjacent wires, resulting in more accurate reconstruction of transient voltages.

Huazhong University of Science and Technology (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 72%
Magneto-Optical Properties and Applications
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.