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.
作者
杨瓅
邓成俊
YANG Li;DENG Chengjun(Chongqing Electric Power College,Chongqing 400053,P.R.China)
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)
关键词
正弦逼近算法
非线性方程组
故障识别
sine-approximation algorithm
nonlinear equation set
fault recognition
