引用本文:丛浩熹,行晋源,李庆民,齐 波,李成榕,刘有为,肖 燕.有屏蔽罩结构的GIS触头温度红外在线监测技术[J].电力自动化设备,2014,34(9):
CONG Haoxi,XING Jinyuan,LI Qingmin,QI Bo,LI Chengrong,LIU Youwei,XIAO Yan.Infrared online temperature monitoring technology for shielded GIS contacts[J].Electric Power Automation Equipment,2014,34(9):
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有屏蔽罩结构的GIS触头温度红外在线监测技术
丛浩熹1, 行晋源2,3, 李庆民2,3, 齐 波2,3, 李成榕2,3, 刘有为4, 肖 燕4
1.山东大学 电气工程学院 山东省特高压输变电技术与气体放电重点实验室,山东 济南 250061;2.华北电力大学 高电压与电磁兼容北京市重点实验室,北京 102206;3.华北电力大学 新能源电力系统国家重点实验室,北京 102206;4.中国电力科学研究院,北京 100192
摘要:
由于红外温度传感器不能直接测量带屏蔽罩结构的GIS触头温度,因此提出了通过直接测量屏蔽罩温度来间接获得触头部位温度的方法。建立了GIS开关传热模型,获得了触头处温度场分布。研究了GIS开关触头温度与屏蔽罩温度、环境温度关系,并且运用支持向量机算法和神经网络算法预测了触头温度和屏蔽罩温度之间的映射关系,结果表明神经网络算法的拟合预测准确度更高。
关键词:  GIS  红外传感  红外辐射  触头  温度测量  监测  神经网络  屏蔽罩  模型
DOI:
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基金项目:国家高技术研究发展计划(863计划)资助项目(2011AA05A121)
Infrared online temperature monitoring technology for shielded GIS contacts
CONG Haoxi1, XING Jinyuan2,3, LI Qingmin2,3, QI Bo2,3, LI Chengrong2,3, LIU Youwei4, XIAO Yan4
1.Shandong Provincial Key Laboratory of UHV Transmission Technology and Gas Discharge Physics,School of Electrical Engineering,Shandong University,Ji’nan 250061,China;2.Beijing Key Laboratory of High Voltage and EMC,North China Electric Power University,Beijing 102206,China;3.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China;4.China Electric Power Research Institute,Beijing 100192,China
Abstract:
As the infrared temperature sensor can not directly measure the temperature of shielded GIS (Gas Insulated Switchgear) contacts,it is proposed to measure the shield temperature for indirect getting the contacts temperature. The heat transfer model of GIS switch is established and the temperature-field distribution around the contacts is obtained. The relationship among contacts,shield and environmental temperatures is studied and the mapping relationship between contacts and shield temperatures is fitted respectively by SVM(Support Vector Machine) method and neural network algorithm for forecasting the contacts temperature. Results show the neural network algorithm has higher accuracy.
Key words:  GIS  infrared sensing  infrared radiation  contacts  temperature measurement  monitoring  neural networks  shielding  models

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