校正交流采样数据滤除非周期分量的实用算法  

Practical Algorithm to Eliminate Non-periodic Components from AC Sampling Data

作　　者：陈海滨[1] 王增平[1] 徐岩[1] 胡继新 马秀林[1] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]东方热电集团有限公司,河北石家庄050031

出　　处：《电力科学与工程》2007年第2期5-8,共4页Electric Power Science and Engineering

摘　　要：针对微机保护中全周傅氏算法无法滤除衰减非周期分量不足的问题,从模数转换结果入手,采用分段线性化方法对交流采样数据本身进行校正,来消除衰减非周期分量的影响。详述了该方法的原理和实现过程,仿真实验表明该算法具有实现简单,计算量小,精度高的特点。For the decaying non-periodic components can not be eliminated by the full-wave Fourier Algorithm, a new approach using piecewise linearization theory to correct the sampling data is proposed in this paper. The principle and the implementation are illustrated in the paper. The simulation results verified that the method can be put into practice with little comoutation and high orecision.

关 键 词：衰减非周期分量 微机保护 交流采样 分段线性化 

分 类 号：TM744[电气工程—电力系统及自动化]