摘要
分析了电能质量扰动产生的原因,针对几类常见的电能质量扰动问题,探讨了多小波变换在电能质量扰动的检测与分类中应用的理论依据,并通过大量的仿真工作,对多小波与传统小波的电能质量扰动检测与分类效果进行了分析比较,研究结果表明:多小波比传统小波具有更好的电能质量扰动检测与分类效果.
The principle of power quality disturbance is researched and the theoretics of muhiwavelet transformation used in detecting and classifying the power quality is discussed. The detecting and classifying effect of power quality disturbance with traditional wavelet and multiwavelet is analyzed and compared after a great deal of simulation work. The resuits indicate that the detecting and classifying effect of power quality disturbance with muhiwavelet is better than with traditional wavelet.
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2009年第2期148-152,共5页
Journal of Jiangxi Normal University(Natural Science Edition)
基金
广东省电力试验研究所(2007279)
广东工业大学青年科学基金(052012)资助项目
关键词
多小波变换
电能质量
检测
分类
multiwavelet transformation
power quality
detection
classification
