CAJ | 학술논문

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.
토론료전력계통고장발생후,계통대고장검측적요구.이용형태소파대고장후적령서전류신호진행분해,병대분해후적근사신호진행Top-Hat화Bottom-Hat운산,득도령서전류적파곡여파봉신호출현적선후시각관계,종이진행고장선선,대량적방진실험증명차방법적유효성.여소파분해상비,차방법운산간단,지섭급도가、감화취겁치운산.
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.