姜楠楠,王文浩,蔺家骏,王劭鹤,谭志翔
JIANG Nannan,WANG Wenhao,LIN Jiajun,WANG Shaohe,TAN Zhixiang

• 1:国网浙江省电力有限公司衢州供电公司
• 2:国网浙江省电力有限公司电力科学研究院

摘要(Abstract)：

避雷器在线监测数据易受环境温湿度和表面脏污等影响，而传统的泄漏电流报警阈值设定方法容易产生误告警。对此，提出一种基于三相数据趋势比对的避雷器在线监测告警算法，利用温湿度抑制算法抑制其对阻性电流的影响，在修正后的阻性电流数据基础上计算三相阻性电流的不平衡系数，并结合阻性电流的报警阈值制定出告警规则。以某220 kV变电站内避雷器为例进行验证，相比原有单一告警规则，该告警策略可有效降低误告警率，提高在线监测告警的准确率和实用化水平。
The online monitoring data of lightning arresters are susceptible to environmental temperature, humidity, and surface contaminants. However, conventional alarm threshold setting approaches for leakage current may result in false alarms. To address this issue, this paper proposes an online monitoring alarm algorithm for arresters based on the trend comparison of three-phase data. This algorithm utilizes a temperature and humidity suppression algorithm to mitigate their influence on the resistive current. It calculates the imbalance coefficients of the three-phase resistive current based on the corrected resistive current data and formulates alarm rules by combining them with the alarm thresholds of the resistive current. The algorithm is validated using lightning arresters in a 220 kV substation.Compared to the original single alarm rule, this alarm strategy effectively reduces the false alarm rate and improves the accuracy and practicality of online monitoring alarms.

关键词(KeyWords)： 避雷器在线监测;三相数据趋势比对;温湿度抑制;正态分布;威布尔分布
online arrester monitoring;three-phase data trend comparison;temperature and humidity suppression;normal distribution;Weibull distribution

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（5211DS220002）

作者(Author): 姜楠楠,王文浩,蔺家骏,王劭鹤,谭志翔
JIANG Nannan,WANG Wenhao,LIN Jiajun,WANG Shaohe,TAN Zhixiang

DOI: 10.19585/j.zjdl.202405014

参考文献(References)：

• [1]李庆玲，王兴贵，李效珍，等.氧化锌避雷器应用一些问题探讨[J].高压电器，2009,45(2):130-131.LI Qingling,WANG Xinggui,LI Xiaozhen,et al.Discussion about application of MOA[J].High Voltage Apparatus,2009,45(2):130-131.
• [2]杨晓亮，徐建源，林莘，等.避雷器对GIS中快速暂态过电压的影响[J].电工电能新技术，2011,30(1):74-78.YANG Xiaoliang,XU Jianyuan,LIN Xin,et al.Influence of MOA to very fast transient over-voltage[J].Advanced Technology of Electrical Engineering and Energy,2011,30(1):74-78.
• [3]李庆玲，程济兵，王晓燕，等.输电线路氧化锌避雷器应用研究[J].高压电器，2010,46(4):77-80.LI Qingling,CHENG Jibing,WANG Xiaoyan,et al.The research of MOA application in transmission line[J].High Voltage Apparatus,2010,46(4):77-80.
• [4]杨殿成，李秉睿.一例500 kV避雷器缺陷数据的分析及思考[J].电瓷避雷器，2009(3):43-46.YANG Diancheng,LI Bingrui.The analysis on a group of test data of 500 kV MOA with default and its discussion[J].Insulators and Surge Arresters,2009(3):43-46.
• [5]苏文宇，汪晓明，胡宏宇，等.220 kV金属氧化物避雷器带电测试异常的处理[J].电瓷避雷器，2008(3):32-33.SU Wenyu,WANG Xiaoming,HU Hongyu,et al.Dealing with an abnormal 220 kV MOA revealed by on-line detection[J].Insulators and Surge Arresters,2008(3):32-33.
• [6]严玉婷，黄炜昭，江健武，等.避雷器带电测试的原理及仪器比较和现场事故缺陷分析[J].电瓷避雷器，2011(2):57-62.YAN Yuting,HUANG Weizhao,JIANG Jianwu,et al.Principle and instrument comparison of arrester live line test and analysis on the flaw in field[J]. Insulators and Surge Arresters,2011(2):57-62.
• [7]王玉茹.金属氧化物避雷器在35 kV电力系统的应用[J].电瓷避雷器，2009(4):34-35.WANG Yuru.Application status of MOA in 35 kV power system[J]. Insulators and Surge Arresters,2009(4):34-35.
• [8]蔡伟贤，陈蓓.提高氧化物避雷器带电测试准确性的探讨[J].电瓷避雷器，2011(4):63-67.CAI Weixian,CHEN Bei.Discussion on improving accuracy of MOA live testing[J].Insulators and Surge Arresters,2011(4):63-67.
• [9]李顺尧.金属氧化锌避雷器测试方法对比与分析[J].高压电器，2010,46(3):94-97.LI Shunyao.Comparison and analysis of MOA test methods[J].High Voltage Apparatus,2010,46(3):94-97.
• [10]王秉钧.金属氧化物避雷器[M].北京：水利电力出版社，1993.
• [11]丁国成.金属氧化物避雷器在线监测的基础研究[D].保定：华北电力大学（河北），2006.DING Guocheng. Fundamental study of on-line monitoring for metal oxide surge arrester[D]. Baoding:North China Electric Power University,2006.
• [12]徐瑞亚，刘豫东，陈锦俊，等.金属氧化物避雷器漏电流传感器的设计[J].电瓷避雷器，2013(2):64-68.XU Ruiya,LIU Yudong,CHEN Jinjun,et al. Design of sensor for leakage current of MOA[J]. Insulators and Surge Arresters,2013(2):64-68.
• [13]刘安文，许甜田，张少成.带电检测发现金属氧化物避雷器阻性电流异常的案例分析[J].浙江电力，2015,34(6):13-15.LIU Anwen,XU Tiantian,ZHANG Shaocheng. Case analysis on live detection of abnormal resistive current of MOA[J].Zhejiang Electric Power,2015,34(6):13-15.
• [14]刘冲，陈达，王文敏，等.在线监测技术在避雷器缺陷分析中的应用[J].浙江电力，2015,34(4):15-17.LIU Chong,CHEN Da,WANG Wenmin,et al.Application of on-line detection technology in arrester defect analysis[J].Zhejiang Electric Power,2015,34(4):15-17.
• [15]张怀宇，朱松林，张扬，等.输变电设备状态检修技术体系研究与实施[J].电网技术，2009,33(13):70-73.ZHANG Huaiyu,ZHU Songlin,ZHANG Yang,et al.Research and implementation of condition-based maintenance technology system for power transmission and distribution equipments[J].Power System Technology,2009,33(13):70-73.
• [16]何文林，张驰，邹国平.金属氧化物避雷器在线监测的评价模型研究[J].浙江电力，2012,31(9):1-4.HE Wenlin,ZHANG Chi,ZOU Guoping. Evaluation model for online monitoring of metal oxide arrester[J].Zhejiang Electric Power,2012,31(9):1-4.
• [17]王楠，律方成.数学形态学滤波预处理tanδ在线监测数据[J].高电压技术，2003,29(7):32-33.WANG Nan,LüFangcheng. Data preprocessing of online monitoring tanδ based on mathematical morphology filter[J].High Voltage Engineering,2003,29(7):32-33.
• [18]周妮娜，祝祥林.避雷器在线监测系统的设计[J].电瓷避雷器，2013(1):112-116.ZHOU Nina,ZHU Xianglin.Design of on-line monitoring system for metal-oxide arresters[J].Insulators and Surge Arresters,2013(1):112-116.
• [19]刘会家，李宁.基于谐波分析的MOA阻性泄漏电流测量方法研究[J].三峡大学学报（自然科学版），2001,23(2):144-147.LIU Huijia,LI Ning. Research on detection method of MOA resistence leakage current based on harmonic analysis[J].Journal of University of Hydraulic and Electric Engineering/Yichang,2001,23(2):144-147.
• [20]都延星，申忠如，陈继明，等.应用高精度FFT算法的MOA泄漏电流测试仪[J].电瓷避雷器，2003(4):45-48.DU Yanxing,SHEN Zhongru,CHEN Jiming,et al.Leakage current tester of MOA based on windows and interpolated FFT[J].Insulators and Surge Arresters,2003(4):45-48.
• [21]胡道明，潘文霞.考虑两种干扰源下的MOA在线监测数学模型探讨[J].电力自动化设备，2004,24(12):67-69.HU Daoming,PAN Wenxia. MOA model for on-line monitoring based on two interference sources[J].Electric Power Automation Equipment,2004,24(12):67-69.
• [22]崔璨.基于避雷器在线监测系统的110 kV氧化锌避雷器缺陷判据研究[D].厦门：厦门理工学院，2015.CUI Can.Research of criterion for identifying faults of 110kV metal oxide surge arrester nased on yhe online monitoring system of arrester[D].Xiamen:Xiamen University of Technology,2015.