Research on Thermal Defect Assessment Algorithms for Tulip Contacts of High Current Switchgear

LI Jiangtao; SUN Yi; LI Qingyu

doi:10.13296/j.1001-1609.hva.2020.11.020

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Research on Thermal Defect Assessment Algorithms for Tulip Contacts of High Current Switchgear

更新时间：2025-04-26

- Research on Thermal Defect Assessment Algorithms for Tulip Contacts of High Current Switchgear
- High VoltageApparatus Vol. 56, Issue 11, Pages: 124-129+138(2020)
- 作者机构：
  
  1. 西安交通大学
  2. 中国电力工程顾问集团华东电力设计院有限公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.11.020
  CLC： TM591
- Published：2020
- 稿件说明：
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[1]李江涛,孙义,李擎宇.大电流开关柜梅花触头热缺陷评估算法研究[J].高压电器,2020,56(11):124-129+138.

LI Jiangtao, SUN Yi, LI Qingyu. Research on Thermal Defect Assessment Algorithms for Tulip Contacts of High Current Switchgear[J]. High voltageapparatus, 2020, 56(11): 124-129+138.
[1]李江涛,孙义,李擎宇.大电流开关柜梅花触头热缺陷评估算法研究[J].高压电器,2020,56(11):124-129+138. DOI： 10.13296/j.1001-1609.hva.2020.11.020.

LI Jiangtao, SUN Yi, LI Qingyu. Research on Thermal Defect Assessment Algorithms for Tulip Contacts of High Current Switchgear[J]. High voltageapparatus, 2020, 56(11): 124-129+138. DOI： 10.13296/j.1001-1609.hva.2020.11.020.

摘要

为有效评估大电流开关柜梅花触头接触状态

避免发生严重热故障

需提高梅花触头热缺陷评估的灵敏度和准确性。因此

设计了一种长期评估梅花触头接触状态的算法用于热缺陷评估。首先

基于人工神经网络改进了传统的相对温差法

并根据正态分布统计修正了相对温差的计算结果。其次

基于改进的相对温差法设计了一种热缺陷评估算法。算法中相对温差的计算结果被划分为8个状态级别分别表征不同程度的状态。对存在异常的状态设计了"N+3"判断算法和"24 h密集评估"算法

用于判断梅花触头是否存在潜在的接触问题并排除算法中由计算误差导致的异常告警。最后

将热缺陷评估算法应用于实际开关柜运维验证了其有效性。算法可较准确地评估开关柜梅花触头的接触状态。

Abstract

In order to effectively evaluate the contact status of tulip contacts in high current switchgear and avoid serious thermal failure

the sensitivity and accuracy of thermal defect assessment is necessary to be improved.Based on this problem

an algorithm for long-term assessment of contact state of tulip contacts is designed for thermal defet assessment.Firstly

the traditional relative temperature difference method is improved based on artificial neural network.The calculation results of relative temperature difference are modified according to the normal distribution statistics.Secondly

a thermal defect assessment algorithm is designed based on the improved relative temperature difference method.The calculation results of the relative temperature difference in the algorithm are divided into eight state levels to represent different degrees of state.A "N+3" judgment algorithm and a "24-hour intensive evaluation" algorithm are designed to determine whether there are potential contact problems in tulip contacts and to eliminate the abnormal alarms caused by calculation errors in the algorithm.Finally

the thermal defect assessment algorithm is applied to the actual switchgear operation and maintenance to verify its effectiveness.The algorithm can accurately evaluate the contact state of tulip contacts in switchgear.

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