Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer

CHEN Tai; ZHENG Zuolin; LOU Jianxin; KANG Zheng; WU Zhiwei; ZHENG Yuesheng; SHU Shengwen

doi:10.13296/j.1001-1609.hva.2019.08.023

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Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer

更新时间：2025-04-26

- Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer
- High VoltageApparatus Vol. 55, Issue 8, Pages: 164-170(2019)
- 作者机构：
  
  1. 福建和盛高科技产业有限公司
  2. 福州大学电气工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2019.08.023
  CLC： TM407
- Published：2019
- 稿件说明：
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[1]陈太,郑作霖,娄坚鑫,康铮,吴志伟,郑跃胜,舒胜文.220 kV变压器油中溶解气体体积分数动态预警方法[J].高压电器,2019,55(08):164-170.

CHEN Tai, ZHENG Zuolin, LOU Jianxin, et al. Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer[J]. High voltageapparatus, 2019, 55(8): 164-170.
[1]陈太,郑作霖,娄坚鑫,康铮,吴志伟,郑跃胜,舒胜文.220 kV变压器油中溶解气体体积分数动态预警方法[J].高压电器,2019,55(08):164-170. DOI： 10.13296/j.1001-1609.hva.2019.08.023.

CHEN Tai, ZHENG Zuolin, LOU Jianxin, et al. Dynamic Early-warning Method Based on Dissolved Gas in Oil of 220 kV Transformer[J]. High voltageapparatus, 2019, 55(8): 164-170. DOI： 10.13296/j.1001-1609.hva.2019.08.023.

摘要

油中溶解气体分析是监测电力变压器运行状态最常用的方法之一。针对现有标准对油中溶解气体体积分数预警阈值设定单一和裕度过大等不足

提出了一种基于数据统计和分布模型的220 kV变压器油中溶解气体体积分数动态预警方法。首先

对某电网近10万条220 kV变压器油中溶解气体体积分数数据进行统计与分类处理

并建立了油中溶解气体体积分数的分布模型;然后

根据油中溶解气体体积分数实际预警数据统计结果

通过分布模型的逆累积运算计算得到动态预警值

从而实现了一种油中溶解气体体积分数的动态预警方法;最后

将动态预警方法与现有标准以及10%划分规则的计算结果进行了对比分析

并讨论了预警阈值的动态特性。结果表明

该方法与现有标准相比能够降低漏预警率

与10%划分规则相比能够降低误预警率

即在漏报警和误报警之间取得了一个较好的平衡点

具有一定的工程应用价值。

Abstract

Dissolved gas analysis in oil is one of the most common methods for monitoring the operating state of power transformers.The existing standard set the early-warning threshold for volume fraction of dissolved gas in oil as a fixed and too large value.In response to this problem

a dynamic early-warning method based on data statistics and distribution model is proposed in this paper.Firstly

nearly 100

000 volume fraction data of dissolved gas in oil for220 kV transformer in a certain power grid is statistically and classified

and the volume fraction distribution model of dissolved gas in oil is established.Then

based on the actual volume fraction early-warning data of dissolved gas in oil

the dynamic early-warning value is calculated by the inverse accumulation operation of distribution model.Thus

a dynamic early-warning method for the volume fraction of dissolved gas in oil has been realized.Finally

the dynamic early-warning method is compared with the existing standard and the calculation results of the 10% partition principle and the dynamic characteristics of early-warning threshold is discussed.The results show that this method can reduce missed alarms compared with the existing standard

also can reduce false alarms compared with the 10%partition principle.In other words

a good balance between missed alarm and false alarm has been achieved

which has a certain value of engineering application.

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