参考文献
[1] 刘振亚. 中国特高压交流输电技术创新[J] . 电网技术,2013,37(3):567-574.
[2] CHEN J , GUO J , QIU A , et al . Behavior Comparison of Metal Oxide Arrester Blocks When Excited by VFTO and Lightning[J].IEEE Transactions on Electromagnetic Compatibility,2015,57(6) :1608-1615.
[3] TUCZEK M N, HINRICHSEN V.Recent Experimental Findings on the Single and Multi-Impulse Energy Handling Capability of Metal–Oxide Varistors for Use in High-Voltage Surge Arresters[J].IEEE Transactions on Power Delivery,2014,29(5) :2197-2205.
[4] DAS A K, DALAI S.Recent Development in Condition Monitoring Methodologies of MOSA Employing Leakage Current Signal:A Review[J].IEEE Sensors Journal,2021,21(13) :14559-14568.
[5] 王少伟. 基于泄漏电流分析的氧化锌避雷器故障诊断与处理[J]. 电工技术,2021(5):115-117.
[6] 刘小卫,唐凡,陈晨,等. 基于优化神经网络的 MOA 避雷器故障诊断系统[J] . 科学技术创新,2019(13) :17-18.
[7] 方超颖,王晓杰,郑钟楠,等. 柔直输电系统避雷器监测数据异常研究[J] . 电瓷避雷器,2020(3) :28-33.
[8] 靖文,毛凯,王丽丽. 基于泄漏电流三次谐波分析的高压设备在线监测方法[J] . 电测与仪表,2018,55(23) :123-128.
[9] KHODSUZ M , MIRZAIE M . Evaluation of ultraviolet ageing, pollution and varistor degradation effects on harmonic contents of surge arrester leakage current[J].IET Science, Measurement & Technology,2015,9(8):979-986.
[10] DAS A K, GHOSH B, DALAI S, et al.Sensing Surface Contamination of Metal Oxide Surge Arrester Through Resistive Leakage Current Signal Analysis by Mathematical Morphology[J].IEEE Sensors Journal,2020,20(16) :9460-9468.
[11] 汪亮, 云浩, 李洋, 等. 基于时频域介电响应混合的绝缘诊断装置[J] . 电力工程技术,2021,40(5) :184-191.
[12] SAHA T K, MARDIRA K P.Modeling metal oxide surge arrester for the modern polarization based diagnostics[J].IEEE Transactions on Dielectrics & Electrical Insulation,2005,12(6) :1249-1258.
[13] 张露,王永勤,贺家慧,等. 特高压变电站工频电磁场对避雷器在线监测装置测量准确度影响研究[J] . 电力系统保护与控制,2018,46(3):164-169.
[14] WONG K L.Electromagnetic emission based monitoring technique for polymer ZnO surge arresters[J].IEEE Transactions on Dielectrics & Electrical Insulation,2006,13(1) :181-190.
[15] 邵山,邱晓明,杨阳. 红外热成像技术在高压输电设备故障诊断中的运用[J] . 通信电源技术,2020,37(3) :89-90.
[16] 袁忠华,袁衢龙. SOM 神经网络在金属氧化物避雷器老化在线诊断中的应用[J] . 电瓷避雷器,2019(1) :184-188.
[17] ALMEIDA C A L, BRAGA A P, NASCIMENTO S, et al.Intelligent Thermographic Diagnostic Applied to Surge Arresters:A New Approach[J].IEEE Transactions on Power Delivery,2009,24(2) :751-757.
[18] NETO E T W, COSTA E G D, MAIA M J A.Artificial Neural Networks Used for ZnO Arresters Diagnosis[J].IEEE Transactions on Power Delivery,2009,24(3):1390-1395.
[19] ILHAN S, FONT A, KALENDERLI O.Numerical analysis of a metal-oxide surge arrester by using finite element method[C]//2016 IEEE International Conference on High Voltage Engineering and Application(ICHVE),2016.
[20] LEE S B, LEE S J, LEE B H.Analysis of thermal and electrical properties of ZnO arrester block[J].Current Applied Physics,2010,10(1) :176-180.
[21] 张汝楠, 彭松, 钟子华, 等. 高压陶瓷电容在 10 kV 配电网中的应用研究[J] . 供用电,2017,34(7) :75-78.