35 kV配电线路铁磁谐振诱发电压互感器油色谱异常的研究
|
摘要
35 kV配电网中的电压互感器(PT)、变压器等电感元件由于铁心的饱和特性,当系统发生大的扰动或操作时,可能与线路或设备的对地电容形成谐振回路,产生铁磁谐振过电压,严重影响电力系统的安全运行。为了探究铁磁谐振现象及其对电压互感器中油色谱的影响,通过铁磁谐振试验平台与实验室模拟试验,发现铁磁谐振时PT内部产生过电流,使铜线局部过热从而诱发油色谱异常,通过实验室模拟PT热故障试验验证了这种推论;模拟热故障试验后线芯的温度与5种特征气体的含量均随着施加电流的增加而增加。在实验室模拟试验中通过测量线圈直流电阻获得的线芯温度与三比值法具有较好的对应关系,可将此方法推广到真实PT线圈温度的测量。
When there are large disturbances or operations in 35 kV distribution network system, the inductance components such as potential transformer(PT) and transformer may form resonant loop with the capacitance to the earth of line or equipment due to the saturation characteristics of core, and then generates the ferro-resonance overvoltage, which seriously affects the safe operation of power system. In order to study ferro-resonance phenomenon and its influence on the oil chromatography in potential transformer,a ferro-resonance test platform was constructed and the laboratory simulation test was carried out. The results show that the over current generated in PT during ferro-resonance process causes the local overheating of copper wire and induces oil chromatogram anomaly. This inference is verified by laboratory PT thermal fault simulation test. Both of the temperature of core and the contents of five characteristic gases increase with the increase of applied current after thermal fault simulation test. In the laboratory simulation test, the temperature obtained by measuring the resistance of core has good correspondence with the three-ratio method, and this method can be extended to real PT coil temperature measurement.
When there are large disturbances or operations in 35 kV distribution network system, the inductance components such as potential transformer(PT) and transformer may form resonant loop with the capacitance to the earth of line or equipment due to the saturation characteristics of core, and then generates the ferro-resonance overvoltage, which seriously affects the safe operation of power system. In order to study ferro-resonance phenomenon and its influence on the oil chromatography in potential transformer,a ferro-resonance test platform was constructed and the laboratory simulation test was carried out. The results show that the over current generated in PT during ferro-resonance process causes the local overheating of copper wire and induces oil chromatogram anomaly. This inference is verified by laboratory PT thermal fault simulation test. Both of the temperature of core and the contents of five characteristic gases increase with the increase of applied current after thermal fault simulation test. In the laboratory simulation test, the temperature obtained by measuring the resistance of core has good correspondence with the three-ratio method, and this method can be extended to real PT coil temperature measurement.
引文
[1]王晓云,李宝树,庞承宗.电力系统铁磁谐振研究现状分析[J].电力科学与工程,2002,25(4):49-51.
[2]杨斌文,李文圣.电压互感器铁磁谐振的产生与消除[J].电力自动化设备,2010,30(3):134-136.
[3]汪伟,汲胜昌,李彦明,等.电压互感器饱和引起铁磁谐振过电压的定性分析与仿真验证[J].变压器,2009,46(2):30-33.
[4]翁利民,陈灵欣,靳剑峰.配电网电压互感器铁磁谐振的特点与抑制[J].电力系统保护与控制,2004,32(20):40-42.
[5]廖瑞金,杨丽君,郑含博.电力变压器油纸绝缘热老化研究综述[J].电工技术学报,2012,27(5):1-12.
[6]LUNDGAARD L E,HANSEN W,LINHJELL D,et al.Aging of oil-impregnated paper in power transformers[J].IEEE Transactions on Power Delivery,2004,19(1):230-239.
[7]徐懿俊.变压器油中溶解性气体(DGA)检测方法的研究[D].上海:复旦大学,2011.
[8]叶利振.基于DGA的变压器绝缘油分析与故障诊断在澳门电网中的应用研究[D].广州:华南理工大学,2016.
[9]DUVAL M.Dissolved gas analysis:It can save your transformer[J].IEEE Electrical Insulation Magazine,1989,5(6):22-27.
[10]GUARDADO J L,NAREDO J L,MORENO P,et al.Acomparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis[J].IEEE Transactions on Power Delivery,2001,16(4):643-647.
[11]KACHLER A J,HOHLEIN I.Aging of cellulose at transformer service temperatures.Part 1:Influence of type of oil and air on the degree of polymerization of pressboard,dissolved gases,and furanic compounds in oil[J].IEEEElectrical Insulation Magazine,2005,21(2):15-21.
[12]EMSLEY A M,XIAO X,HEYWOOD R J,et al.Degradation of cellulosic insulation in power transformers.Part 2:Formation of furan products in insulating oil[J].IEE Proceedings-Science,Measurement and Technology,2000,147(3):110-114.
[13]李峥.电力变压器过热故障综合诊断技术研究[D].南京:河海大学,2005.
[14]党剑亮.典型故障下菜籽绝缘油中溶解气体的研究[D].重庆:重庆大学,2007.
[15]林永平.变压器油色谱分析技术的发展及最新动态[J].变压器,2002,39(3):46-49.
[16]张冠军,钱政,严璋.DGA技术在电力变压器绝缘故障诊断中的应用与进展[J].变压器,1999,35(1):30-34.
[17]ZHANG Y,DING X,LIU Y,et al.An artificial neural network approach to transformer fault diagnosis[J].IEEE Power Engineering Review,1996,16(10):55-55.
[18]袁帅,胡远翔,余辉,等.植物绝缘油热故障的模拟与产气规律研究[J].绝缘材料,2015,48(5):50-56.
[2]杨斌文,李文圣.电压互感器铁磁谐振的产生与消除[J].电力自动化设备,2010,30(3):134-136.
[3]汪伟,汲胜昌,李彦明,等.电压互感器饱和引起铁磁谐振过电压的定性分析与仿真验证[J].变压器,2009,46(2):30-33.
[4]翁利民,陈灵欣,靳剑峰.配电网电压互感器铁磁谐振的特点与抑制[J].电力系统保护与控制,2004,32(20):40-42.
[5]廖瑞金,杨丽君,郑含博.电力变压器油纸绝缘热老化研究综述[J].电工技术学报,2012,27(5):1-12.
[6]LUNDGAARD L E,HANSEN W,LINHJELL D,et al.Aging of oil-impregnated paper in power transformers[J].IEEE Transactions on Power Delivery,2004,19(1):230-239.
[7]徐懿俊.变压器油中溶解性气体(DGA)检测方法的研究[D].上海:复旦大学,2011.
[8]叶利振.基于DGA的变压器绝缘油分析与故障诊断在澳门电网中的应用研究[D].广州:华南理工大学,2016.
[9]DUVAL M.Dissolved gas analysis:It can save your transformer[J].IEEE Electrical Insulation Magazine,1989,5(6):22-27.
[10]GUARDADO J L,NAREDO J L,MORENO P,et al.Acomparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis[J].IEEE Transactions on Power Delivery,2001,16(4):643-647.
[11]KACHLER A J,HOHLEIN I.Aging of cellulose at transformer service temperatures.Part 1:Influence of type of oil and air on the degree of polymerization of pressboard,dissolved gases,and furanic compounds in oil[J].IEEEElectrical Insulation Magazine,2005,21(2):15-21.
[12]EMSLEY A M,XIAO X,HEYWOOD R J,et al.Degradation of cellulosic insulation in power transformers.Part 2:Formation of furan products in insulating oil[J].IEE Proceedings-Science,Measurement and Technology,2000,147(3):110-114.
[13]李峥.电力变压器过热故障综合诊断技术研究[D].南京:河海大学,2005.
[14]党剑亮.典型故障下菜籽绝缘油中溶解气体的研究[D].重庆:重庆大学,2007.
[15]林永平.变压器油色谱分析技术的发展及最新动态[J].变压器,2002,39(3):46-49.
[16]张冠军,钱政,严璋.DGA技术在电力变压器绝缘故障诊断中的应用与进展[J].变压器,1999,35(1):30-34.
[17]ZHANG Y,DING X,LIU Y,et al.An artificial neural network approach to transformer fault diagnosis[J].IEEE Power Engineering Review,1996,16(10):55-55.
[18]袁帅,胡远翔,余辉,等.植物绝缘油热故障的模拟与产气规律研究[J].绝缘材料,2015,48(5):50-56.