电力系统及其自动化学报2025，Vol.37Issue(10)：13-22,10.DOI:10.19635/j.cnki.csu-epsa.001582
基于电流改进模态LCS的变压器零序差动保护防误动闭锁方案
Blocking Scheme for Preventing Malfunctions of Transformer Zero-sequence Differential Protection Based on LCS of Improved Morphological Pattern of Current
摘要
Abstract
Transformers are often equipped with zero-sequence differential protection,which works as one of the main protections under single-phase grounding fault in their windings.To improve the sensitivity of protection and solve the problem of malfunctions of zero-sequence differential protection under working conditions such as inrush current,based on the analysis of the mechanism of abnormal operation behavior of protection,the waveform feature difference between the zero-sequence current used by zero-sequence differential protection and the neural zero-sequence current under nor-mal and abnormal operating conditions was analyzed,which was further quantified and extracted.Then,a blocking scheme for preventing the malfunctions of zero-sequence differential protection based on the longest common subse-quence(LCS)of improved morphological pattern of current was proposed.Based on the PSCAD regional power grid sim-ulation model with a transformer,the effectiveness of the proposed blocking scheme for preventing malfunctions was ver-ified.It is concluded that under the internal fault,quickly opening the protection does not affect the sensitivity of the original zero-sequence difference protection to a minor fault of transformer windings.When dealing with external faults and various inrush current conditions,the proposed scheme can prevent protection malfunctions,and it can still cor-rectly make identifications when the current transformer is saturated,thus effectively improving the protection reliability.关键词
变压器零序差动保护/电流互感器饱和/形态模式/最长公共子序列Key words
transformer zero-sequence differential protection/current transformer saturation/morphological pattern/longest common subsequence(LCS)分类
动力与电气工程引用本文复制引用
翁汉琍,禹文静,郭祎达,孔祥平,陈实,李振兴..基于电流改进模态LCS的变压器零序差动保护防误动闭锁方案[J].电力系统及其自动化学报,2025,37(10):13-22,10.基金项目
国家自然科学基金资助项目(52077120). （52077120）
