摘要
讨论了电力系统故障发生后,系统对故障检测的要求。利用形态小波对故障后的零序电流信号进行分解,并对分解后的近似信号进行Top-Hat和Bottom-Hat运算,得到零序电流的波谷与波峰信号出现的先后时刻关系,从而进行故障选线,大量的仿真实验证明此方法的有效性。与小波分解相比,此方法运算简单,只涉及到加、减和取极值运算。
When the power system fails, to find out the system fault detection accurately and expeditiously is demanded.This paper proposes morphological Haar wavelet to decompose the zero-sequence current signal, and process this signal with Top-Hat and Bottom-Hat operation, finally detect the fault line with the time relation between trough and crest of the zero-sequence current signal. A large number of simulations prove the effectiveness of this method. Compared with the wavelet decomposition, this method of computation is simple, involving only addition, subtraction, and extreme computing.
出处
《电测与仪表》
北大核心
2013年第3期60-63,共4页
Electrical Measurement & Instrumentation
