Fault Diagnosis for Power Transformer Mainly Based on Power-on State Variables

KONG Jinjiao; GAO Keli; YAN Chunyu; WANG Feng; BI Jiangang

doi:10.13296/j.1001-1609.hva.2015.11.027

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Fault Diagnosis for Power Transformer Mainly Based on Power-on State Variables

更新时间：2025-04-26

- Fault Diagnosis for Power Transformer Mainly Based on Power-on State Variables
- High VoltageApparatus Vol. 51, Issue 11, Pages: 161-167(2015)
- 作者机构：
  
  1. 国网湖北省电力公司电力科学研究院
  2. 中国电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.11.027
  CLC： TM407
- Published：2015
- 稿件说明：
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[1]孔巾娇,高克利,阎春雨,王峰,毕建刚.以不停电检测状态量为主的变压器故障诊断方法研究[J].高压电器,2015,51(11):161-167.

KONG Jinjiao, GAO Keli, YAN Chunyu, et al. Fault Diagnosis for Power Transformer Mainly Based on Power-on State Variables[J]. High voltageapparatus, 2015, 51(11): 161-167.
[1]孔巾娇,高克利,阎春雨,王峰,毕建刚.以不停电检测状态量为主的变压器故障诊断方法研究[J].高压电器,2015,51(11):161-167. DOI： 10.13296/j.1001-1609.hva.2015.11.027.

KONG Jinjiao, GAO Keli, YAN Chunyu, et al. Fault Diagnosis for Power Transformer Mainly Based on Power-on State Variables[J]. High voltageapparatus, 2015, 51(11): 161-167. DOI： 10.13296/j.1001-1609.hva.2015.11.027.

摘要

目前被广泛研究和使用的是融合多种状态量的变压器综合诊断方法

该方法提高了诊断的准确性

但同时也带来了一些问题

主要问题在于这种方法需要的状态量多、诊断效率低、导致停电时间过长。因此

文中提出了一种以不停电检测状态量为主的分步诊断方法

其包括初步诊断和精细诊断两个阶段。初步诊断阶段仅以不停电检测状态量为诊断依据

在无需停电的状态下将变压器故障分为热故障、电故障、受潮或脏污、变形4大类;在精细诊断阶段

根据初步诊断结果

选择出多种必要的停电试验信息

并利用故障机理和粗糙集理论进行进一步的故障确认和细分

判断发生的位置。与其他方法相比

该诊断方法可以缩短停电时间、提高诊断效率。最后

诊断实例验证了该方法的有效性。

Abstract

The current synthetic diagnostic methods for power transformer using a variety of state variables have been widely studied and applied. These methods can increase the accuracy of diagnosis

but they need more poweroff state variables and longer power-off time and is of lower diagnostic efficiency. This paper presents a two-step diagnostic method mainly based on power-on state variables

consisting of primary diagnosis and precise diagnosis.In primary diagnosis step

only power-on state variables of transformer in service are used to divide faults into thermal fault

electric fault

moisture or contamination fault

and deformation fault. In precise diagnosis stage

some useful and necessary power-off state variables are selected according to the primary diagnostic results to confirm exact fault type and position by making use of rough set theory and failure mechanism of transformer. Compared with the current diagnostic methods

the present fault diagnostic method shortens outage time and improves the efficiency of diagnosis. In addition

a diagnosis case verifies the feasibility and effectiveness of the present method.

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Related Institution

International Education Institute, North China Electric Power University

College of Automation,Northwestern Polytechnic University

西北工业大学自动化学院陕西西安710072

Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control,North China Electric Power University,Ministry of Education

Guangdong Shenzhen Electric Power Bureau

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