暂态电能质量分析中的小波算法及应用  

Wavelet transform application in transient power quality analysis

作　　者：居滋培[1] 林燕凌[1] 王斌[1] 董大伟[1] 

机构地区：[1]上海理工大学计算机与电气工程学院,上海200093

出　　处：《上海理工大学学报》2007年第6期597-600,共4页Journal of University of Shanghai For Science and Technology

摘　　要：针对当前电力系统存在的暂态电能质量中持续时间短、发生随机性大及不容易检测的特点,提出了基于C语言的小波算法检测暂态电能质量的方法.研究结果表明,小波变换能在时域上对电压暂态瞬时变动的发生时刻进行准确定位,并可利用相应控制系统有效改善电能质量.In view of the characteristics of the current power system, such as transient power quality with short duration, wide random and hard to be detected, the wavelet-based C-language algorithm to detect transient power quality solution methods has been proposed. After several times experiments and algorithm debugging, results show that the wavelet transform can quite accurately identify the moment when the transient voltage transient changes in the time domain. By using control system, it can take effective measures to improve power quality.

关 键 词：电能质量 小渡变换 小波算法 

分 类 号：TM92[电气工程—电力电子与电力传动]