摘要
互感器采样信息异常将导致变电站保护系统误动或拒动.针对该问题,考虑目前保护算法普遍基于全周傅式算法计算保护相量信息,首先分析异常数据对全周傅式变换的影响,进而提出一种基于波形相似度的异常数据识别算法,并利用插值或站域信息冗余替换对异常数据进行修复,从而避免保护系统错误动作.该方案能够准确快速找到异常数据点,且修复方案并不会降低原有保护的动作速度.理论分析及仿真算例验证了该方案的可行性.
The abnormal sampling information of transformer will lead to mal-operation or refusal of substation protection system. To solve this problem,considering that the current protection algorithm is generally based on full cycle Fourier algorithm to calculate protection phasor information,this paper firstly analyzes the influence of abnormal data on full cycle Fourier transform,then an abnormal data recognition algorithm is proposed based on the waveform similarity,and repair the abnormal data by interpolation or replacing with substation area redundancy information,thus mal-operation of protection system is avoided.The scheme can recognize the abnormal data accurately and quickly,and the repair scheme will not reduce the operation time of the original protection. The feasibility of the scheme is verified by theoretical analysis and simulation results.
作者
谭子兵
谭爱国
TAN Zibing;TAN Aiguo(Jianshi Power Supply Company,State Grid Hubei Electric Power Company,Enshi 445000,China;School of Information Engineering,Hubei University for Nationalities,Enshi 445000,China)
出处
《湖北民族学院学报（自然科学版）》
CAS
2018年第2期208-213,共6页
Journal of Hubei Minzu University(Natural Science Edition)
基金
国家自然科学基金项目(51177060)
湖北省自然科学基金计划项目(2013CFC125)
关键词
互感器
异常数据
全周傅式变换
波形相似度
站域信息
transformer
abnormal data
full cycle Fourier transform
waveform similarity
substation area information
作者简介
谭子兵（1972-），男，工程师，主要从事电力系统运行与控制的研究;;通信作者： 谭爱国（1979-），男，博士，讲师，主要从事电力系统运行与控制的研究.
