异常数据对继电保护影响的仿真实验分析  

Simulation Experimental Analysis of Effect of Abnormal Data on Relay Protection

作　　者：郝俊伟 HAO Junwei(Shanxi Xinghuacun Fen Liquor Group Co.,Ltd.,Lyuliang 032205,Shanxi,China)

机构地区：[1]山西杏花村汾酒集团有限责任公司,山西吕梁032205

出　　处：《电气传动自动化》2021年第2期46-48,共3页Electric Drive Automation

摘　　要：研究了异常数据对原始数据和傅里叶算法的影响,并提出了一个模型来量化异常数据对用傅里叶算法计算出的幅值的影响。通过Matlab仿真模型研究了异常数据对继电保护的影响。仿真结果表明,异常数据能够严重影响继电保护系统的正常运行,能够扩大故障的影响范围,导致过电流保护错误启动。This paper investigates the effect of anomalous data on the raw data and the Fourier algorithm,and proposes a model to quantify the effect of anomalous data on the magnitude values calculated by the Fourier algorithm.The Matlab simulation model is used to study the effect of anomalous data on relay protection.The simulation results show that the anomalous data can seriously affect the normal operation of relay protection system,also can cause the distance protection to amplify the effects of faults and lead to false activation of the overcurrent protection.

关 键 词：继电器保护 异常数据 傅里叶算法 

分 类 号：TM773[电气工程—电力系统及自动化]