电子测量与仪器学报

何贵先,行鸿彦,季鑫源,徐伟.金属氧化物避雷器在线监测的谐波校正及研究[J].电子测量与仪器学报,2017,31(10):1549-1554

金属氧化物避雷器在线监测的谐波校正及研究

Harmonic correction and study for MOA on line monitoring algorithm

DOI：10.13382/j.jemi.2017.10.003

英文关键词:metal oxide surge arrester harmonic voltage resistive current on line monitoring harmonic correction

基金项目:国家自然科学基金（61671248,41605121）、江苏省高校自然科学研究重大项目（15KJA460008）、江苏省“六大人才高峰”计划和江苏省“信息与通信工程”优势学科资助

作者	单位
何贵先	1. 南京信息工程大学气象灾害预报预警与评估协同创新中心南京210044；2.南京信息工程大学中国气象局气溶胶与云降水重点开发实验室南京210044
行鸿彦	1. 南京信息工程大学气象灾害预报预警与评估协同创新中心南京210044；2.南京信息工程大学中国气象局气溶胶与云降水重点开发实验室南京210044
季鑫源	1. 南京信息工程大学气象灾害预报预警与评估协同创新中心南京210044；2.南京信息工程大学中国气象局气溶胶与云降水重点开发实验室南京210044
徐伟	南京信息工程大学气象灾害预报预警与评估协同创新中心南京210044

Author	Institution
He Guixian	1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for AerosolCloudPrecipitation of China Meteorological Administration, Nanjing 210044, China
Xing Hongyan	1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for AerosolCloudPrecipitation of China Meteorological Administration, Nanjing 210044, China
Ji Xingyuan	1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for AerosolCloudPrecipitation of China Meteorological Administration, Nanjing 210044, China
Xu Wei	Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044,China

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中文摘要:

泄漏电流阻性分量是金属氧化物避雷器（MOA）在线监测的重要指标，传统的容性电流补偿算法并未考虑谐波电压的作用，对监测结果产生很大的误差。为解决该问题，利用电压过零时避雷器阻性电流与容性电流的关系求解避雷器晶介电容C，并推导了谐波电压下的容性电流补偿系数G，提出了一种金属氧化物避雷器在线监测的谐波电压校正方法，有效降低谐波电压对阻性电流提取的影响，提高避雷器阻性电流的提取精度。MATLAB仿真结果表明，通过 MOA在线监测谐波校正方法，避雷器晶介电容C、基波阻性电流分量iR1、3次谐波阻性电流分量iR3误差均≤10%，有效地减小谐波电压给监测结果带来的影响，降低了阻性电流提取的误差，提高了避雷器在线监测结果的准确性。

英文摘要:

Resistive leakage current is an important indicator in metal oxide surge arrester (MOA) on line monitoring. Traditional capacitive current compensation method ignores the influence of the harmonic voltage, a huge error on the monitoring result is caused. To solve this problem, a harmonic correction and study for MOA on line monitoring algorithm based on the relationship between the resistive current and capacitive current at voltage’s zero point is proposed. Capacitance of MOA and compensation coefficients of capacitive G are deduced. This method eliminates the influence of the harmonic voltage and improves the extraction accuracy of resistive current. MATLAB simulations show that the error of capacitance C, fundamental resistive current component iR1 and the 3rd harmonic resistive current component iR3 are 10% by this method, which can reduce the influence of harmonic voltage to the monitoring results effectively, reduce the extraction error of resistive current and improve the accuracy of the arrester on line monitoring.

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