基于正弦逼近算法的电网故障快速识别方法  

A Study on the Fast Recognition Method for Grid Faults Based on the Sine-Approximation Algorithm

作　　者：杨瓅[1] 邓成俊[1] YANG Li;DENG Chengjun(Chongqing Electric Power College,Chongqing 400053,P.R.China)

机构地区：[1]重庆电力高等专科学校,重庆400053

出　　处：《重庆电力高等专科学校学报》2018年第6期23-25,共3页Journal of Chongqing Electric Power College

基　　金：2016年重庆市教委科技项目(KJ1602402)

摘　　要：电网发生故障后,电压幅值和相位会随时间t而变化。对电压每隔T s采样,得到一个离散时间序列。利用正弦逼近算法,对序列中的第n个元素x[n]提取出2个离散时间序列y[n],z[n],利用"牛顿-拉弗逊"法最终可得到故障电压幅值和相位值。当发生不同类型故障时,根据三相电压幅值呈现不同的特征,可用模式识别技术对故障进行快速识别。The voltage amplitude and the phase position will vary with time t after a grid fault. Voltage sampling every T seconds can create a discrete-time series. Two discrete-time series of y[n]and z[n]in the nelement x[n]of the series can be extracted by means of the sine-approximation algorithm. Then,the fault voltage amplitude and phase value can be obtained by means of the Newton-Raphson method. When different faults happens,amplitudes of threephase voltage take on different features and the faults can be fast recognized by means of the pattern recognition technology.

关 键 词：正弦逼近算法 非线性方程组 故障识别 

分 类 号：TM77[电气工程—电力系统及自动化]