电力系统及其自动化学报2017，Vol.29Issue(7)：34-40,7.DOI:10.3969/j.issn.1003-8930.2017.07.006
励磁涌流波形密度系数鉴别算法
Identification Algorithm for Magnetizing Inrush Current in Terms of Waveform Density Coefficient
摘要
Abstract
Considering that the recognition reliability of internal fault current and magnetizing inrush current by the dif?ferential protection of a transformer is relatively lower,a novel algorithm based on waveform density coefficient is pro?posed to identify magnetizing inrush current. The concept of waveform density coefficient is proposed based on the fact that magnetizing inrush current and fault current have different sinusoid correlation coefficients. Through the compara?tive analysis of the waveform density coefficients of a transformer under all kinds of operation conditions ,it is found that the proposed algorithm can theoretically identify magnetizing inrush current and fault current accurately. Moreover ,a simulation model of transformer with the actual closing record wave data are used to verify the applicability and rapidity of the proposed algorithm. It is shown that this algorithm has a simple criterion together with a filtering effect. Additional?ly,it is not affected by aperiodic components,so it can accurately distinguish magnetizing inrush current from internal fault current without delay.关键词
变压器/差动保护/短路故障/励磁涌流/波形密度系数Key words
transformer/differential protection/short-circuit fault/magnetizing inrush current/waveform density coeffi⁃cient分类
信息技术与安全科学引用本文复制引用
黄景光,罗亭然,林湘宁,翁汉琍,赵娇娇..励磁涌流波形密度系数鉴别算法[J].电力系统及其自动化学报,2017,29(7):34-40,7.基金项目
国家自然科学基金资助项目(51477090) （51477090）
