Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure

ZENG Xiaosong; LUO Jing; YAO Qiang; MIAO Yulong; ZENG Fuping

doi:10.13296/j.1001-1609.hva.2021.10.014

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Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure

更新时间：2025-04-26

- Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure
- High VoltageApparatus Vol. 57, Issue 10, Pages: 111-119(2021)
- 作者机构：
  
  1. 国网陕西省电力公司勉县供电分公司
  2. 武汉大学电气与自动化学院
  3. 国网重庆市电力公司江北供电分公司
  4. 国网重庆市电力公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2021.10.014
  CLC： TM595;TM564.1
- Published：2021
- 稿件说明：
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ZENG Xiaosong, LUO Jing, YAO Qiang, et al. Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure[J]. High voltageapparatus, 2021, 57(10): 111-119.
DOI：

ZENG Xiaosong, LUO Jing, YAO Qiang, et al. Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure[J]. High voltageapparatus, 2021, 57(10): 111-119. DOI： 10.13296/j.1001-1609.hva.2021.10.014.

摘要

GIS触头温度是反应触头热故障信息最直接的指标

有必要实时监测其温度。目前无法在触头上安装传感器来监测其温度

因此文中提出利用多点外壳温度和环境温度的监测值来反演计算GIS触头温度

并对布置在外壳上的多点传感器进行了优化。首先建立了500 kV隔离开关气室的温度—流体场有限元分析模型

计算出温度场分布

确定了外壳传感器安装位置。同时进行温升试验

将试验和仿真结果对比

验证仿真模型的合理性。接着利用支持向量回归机训练多点外壳温度、环境温度和触头温度的对应关系

并利用多点外壳温度和环境温度的实测来反演计算触头温度

比较计算和实测结果发现平均绝对监测误差为0.47%。最后

利用遗传算法对外壳温度传感器进行优化布置

传感器数量从25个减少到5个

优化后平均绝对监测误差为2.07%

节约了成本

提高了反演计算的速度。

Abstract

Temperature of contact of GIS is the most direct indicator reflecting thermal fault informationof the contact and is necessary to be monitored real time. At present

it is impossible to install the sensor on the contact to monitor the temperature. Therefore

it is proposed in this paper to use the monitoring value of temperature at multiple point of the enclosure and the ambient temperature for inversion calculation of temperature of the contact of GIS. Also

the multiple-point sensors arranged on the enclosure is optimized. First

a temperature-fluid field finite element analysis model of 500 kV disconnector gas compartment is set up

the distribution of temperature field is calculated and the installation position of the sensors on the enclosure is determined. At the same time

the temperature rise test is performed to compare the test and simulation result in order to verify the rationality of the simulation model. Then

the support vector regression is used to train the corresponding relationship between multiple-point temperature of the enclosure

the ambient temperature and the contact temperature. The actual measurement of the multiple-temperature on the enclosure and ambient temperature is used for conversion calculation of contact temperature. It is found by way of comparing the calculated and actually measured result that the average absolute monitoring error is 0.47%. Finally

the optimal placement of the temperature sensor on the enclosure is performed by using the generic algorithm.The number of sensors is reduced from 25 to 5 and the average absolute monitoring error after optimization is 2.07%

which saves the cost and improves the speed of conversion calculation.

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