一种提升金属氧化物避雷器阻性电流计算精度的方法

为解决MOA(金属氧化物避雷器)带电测试因空间干扰导致的阻性电流测量失真问题,提高MOA阻性电流测试精度,分析总结了生产现场的MOA空间干扰规律,并针对两种不同的MOA空间干扰模型提出了相应的补偿策略.采用基于KNN(K近邻)的参数估计方法,降低空气湿度变化对空间干扰补偿策略的影响.通过基于Simulink的电路仿真验证了该方法能够有效提高MOA阻性电路的计算精度.最后,通过现场实测结果与停电试验数据的对比,说明了现有仪器所采用的"自动边补"算法在空间不平衡干扰的情况下无法适用.同时,也证明了所述算法可以有效提升MOA阻性电流计算精度....

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Published in浙江电力 Vol. 42; no. 8; pp. 92 - 99
Main Authors 杨协伟, 方文田, 蔡伟杰
Format Journal Article
LanguageChinese
Published 广东电网有限责任公司揭阳供电局,广东 揭阳 522000 25.08.2023
Subjects
空间干扰
在线监测
阻性电流
MOA(metal oxide arresters)
resistive current
金属氧化物避雷器
online monitoring
spatial interference
Online AccessGet full text
ISSN1007-1881
DOI10.19585/j.zjdl.202308012

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Abstract 为解决MOA(金属氧化物避雷器)带电测试因空间干扰导致的阻性电流测量失真问题,提高MOA阻性电流测试精度,分析总结了生产现场的MOA空间干扰规律,并针对两种不同的MOA空间干扰模型提出了相应的补偿策略.采用基于KNN(K近邻)的参数估计方法,降低空气湿度变化对空间干扰补偿策略的影响.通过基于Simulink的电路仿真验证了该方法能够有效提高MOA阻性电路的计算精度.最后,通过现场实测结果与停电试验数据的对比,说明了现有仪器所采用的"自动边补"算法在空间不平衡干扰的情况下无法适用.同时,也证明了所述算法可以有效提升MOA阻性电流计算精度.
AbstractList 为解决MOA(金属氧化物避雷器)带电测试因空间干扰导致的阻性电流测量失真问题,提高MOA阻性电流测试精度,分析总结了生产现场的MOA空间干扰规律,并针对两种不同的MOA空间干扰模型提出了相应的补偿策略.采用基于KNN(K近邻)的参数估计方法,降低空气湿度变化对空间干扰补偿策略的影响.通过基于Simulink的电路仿真验证了该方法能够有效提高MOA阻性电路的计算精度.最后,通过现场实测结果与停电试验数据的对比,说明了现有仪器所采用的"自动边补"算法在空间不平衡干扰的情况下无法适用.同时,也证明了所述算法可以有效提升MOA阻性电流计算精度.
Author 方文田
杨协伟
蔡伟杰
AuthorAffiliation 广东电网有限责任公司揭阳供电局,广东 揭阳 522000
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CAI Weijie
FANG Wentian
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Keywords 空间干扰
在线监测
阻性电流
MOA(metal oxide arresters)
resistive current
金属氧化物避雷器
online monitoring
spatial interference
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