Dynamic Deduction Method of Moisture Content of Inverted Oil Immersed Current Transformer During Damp Process

WANG Youyuan; LI Bonan; HUANG Leifeng; DU Hongzhi

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Dynamic Deduction Method of Moisture Content of Inverted Oil Immersed Current Transformer During Damp Process

更新时间：2025-12-08

- Dynamic Deduction Method of Moisture Content of Inverted Oil Immersed Current Transformer During Damp Process
- Vol. 47, Issue 6, Pages: 1921-1930(2021)
- 作者机构：
  
  重庆大学输配电装备及系统安全与新技术国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：30 June 2021，
  
  Published：2021
- 稿件说明：
移动端阅览
WANG Youyuan, LI Bonan, HUANG Leifeng, et al. Dynamic Deduction Method of Moisture Content of Inverted Oil Immersed Current Transformer During Damp Process[J]. 2021, 47(6): 1921-1930.
DOI：

WANG Youyuan, LI Bonan, HUANG Leifeng, et al. Dynamic Deduction Method of Moisture Content of Inverted Oil Immersed Current Transformer During Damp Process[J]. 2021, 47(6): 1921-1930. DOI：

摘要

为在可测特征量的基础上研究受潮过程中电流互感器内部微水的分布及扩散规律

该文提出了一种受潮过程中电流互感器内部微水含量动态推演方法。首先

建立了220k V倒置式油浸电流互感器电-热-流多物理场耦合三维仿真模型

利用有限元分析和多物理场耦合分析等方法

得到了受潮过程中电流互感器内部温度场以及微水含量分布规律;然后

通过分析环境温度对微水扩散的影响

建立了电流互感器内部油纸绝缘中微水含量与取油阀处绝缘油微水含量间的关联关系

并在此基础上

建立了基于回归决策树算法的倒置式油浸电流互感器内绝缘微水含量动态推演模型;最后

搭建了LVB-220W3倒置式油浸电流互感器实验平台

来验证仿真及动态推演模型的有效性。研究结果表明:本文提出的电流互感器内绝缘微水含量动态推演模型计算结果与实验结果的最大偏差为2.51%

可为油纸绝缘设备运维和检测提供一种新的思路。

Abstract

In order to study the distribution and diffusion law of moisture in the current transformer（TA） during the damp process on the basis of measurable characteristics

this paper proposes a dynamic deduction method of moisture content in the TA during the damp process. Firstly

a three-dimensional simulation model of electric-thermal-fluid multi-physics coupling for 220 kV inverted oil-immersed current transformer（IOCT） is established. By using the finite element analysis and multi-physics coupling analysis

the temperature field and the distribution law of moisture content in the IOCT during the damp process are obtained. Then

by analyzing the influence of ambient temperature on the moisture diffusion

the correlation between the moisture content in the oil-paper insulation inside the IOCT and the moisture content of the insulating oil at the oil intake valve is established. On this basis

the dynamic deduction model of internal insulation moisture content of IOCT based on regression decision tree algorithm is established. Finally

the experimental platform of LVB-220 W3 IOCT is built to verify the validity of the simulation and dynamic deduction model. The results show that the maximum deviation between the calculation results of the dynamic deduction model and the experimental results is 2.51%

which can provide a new idea for the operation

maintenance and detection of oil-paper insulation equipment.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Real Time Test System and Method of Conduction Characteristics of Oil-paper Insulation

Simulation on Thermodynamic Properties of Amorphous Cellulose Based on Molecular Dynamics

Development of Measurement Apparatus of Ion Mobility and Its Changing Law with Different Temperatures and Humidities

Analysis of Explosion Airflow Arc-extinguishing Test and Arc-extinguishing Temperature Simulation

Research of Conductive Characteristics and Space Charge on Polypropylene Insulation Material

Related Author

XU Zhengyu

CHENG Huanchao

LI Jinzhong

GUAN Jianxin

ZHAO Zhigang

LI Guangfan

ZHU Mengzhao

CHEN Yufeng

Related Institution

China Electrical Power Research Institute

Shandong Electric Power Research Institute, State Grid Shandong Electric Power Company

China Electric Power Research Institute

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology

College of Energy and Electrical, Hehai University

AI问答

⁰