Calculation Method on Differentiated Warning Value of Power Transformer Based on Distribution Model

QI Bo; ZHANG Peng; XU Ruzhi; RONG Zhihai; WANG Hongbin; LI Chengrong

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Calculation Method on Differentiated Warning Value of Power Transformer Based on Distribution Model

更新时间：2025-12-08

- Calculation Method on Differentiated Warning Value of Power Transformer Based on Distribution Model
- Vol. 42, Issue 7, Pages: 2290-2298(2016)
- 作者机构：
  
  1. 华北电力大学新能源电力系统国家重点实验室
  2. 华北电力大学控制与计算机工程学院
  3. 广东电网有限责任公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 July 2016，
  
  Published：2016
- 稿件说明：
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QI Bo, ZHANG Peng, XU Ruzhi, et al. Calculation Method on Differentiated Warning Value of Power Transformer Based on Distribution Model[J]. 2016, 42(7): 2290-2298.
DOI：

QI Bo, ZHANG Peng, XU Ruzhi, et al. Calculation Method on Differentiated Warning Value of Power Transformer Based on Distribution Model[J]. 2016, 42(7): 2290-2298. DOI：

摘要

变压器是电力系统的枢纽设备之一

其运行的可靠性直接关系到电力系统的安全运行。针对现有标准中油中溶解气体注意值选取存在气体种类不全面、变压器分类过去粗狂等问题

提出了一种变压器油中溶解气体体积分数和产气率的差异化注意值及警示值的计算方法。该方法基于大量的现场油色谱数据

对数据按照固有属性进行分类

之后构建各个分类下溶解气体体积分数和产气率的分布模型

再将各电压等级分类下的变压器的缺陷率和故障率与累积概率相关联

最后利用逆累积分布函数计算不同属性下油中溶解气体体积分数和产气率的注意值和警示值。计算了不同电压等级下的变压器的油中溶解气体的注意值和警示值

实现变压器的产异化评估。基于现场实例对文中所提方法进行验证

结果显示:相对于传统预警值

使用本文所提方法计算出的预警值能够有效减少漏报的发生;且对于所使用的现场实例

预警准确率达到100%。

Abstract

Power transformer is one of the key electrical apparatus in power system and its reliability is directly correlated with the safety of power system. However

there are some controversies in existing standards

for example

gas species is incomplete

transformer classification is rough

etc. Therefore

we proposed a method to calculate the differentiated attention and warning values of gas concentration and gas production rate. This method was based on large amounts of DGA data in field and it was classified according to intrinsic properties of transformers firstly. Secondly

the distribution model of gas concentration and gas production rate under each classification was established. Then the ratio of defect and fault was associated with cumulative probability. At last

the attention and warning value of gas concentration and gas production rate under different classification were calculated by using inverse cumulative distribution function. The attention and warning values of transformers with different voltage properties were calculated by the proposed method. Examples in field are used to verify the method

and results show that the differentiated values calculated by this method can reduce the incidence of false negatives and the accuracy rate of warning is 100% for this example in field.

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Related Institution

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