基于小波Mallat算法的次同步振荡监测  

Mallat Algorithm of Wavelet Analysis Based SSO Monitoring

作　　者：王东阳[1] 晁晖[1] 王辛[1] 谢鸿亮[2] 

机构地区：[1]中国电力科学研究院,北京100192 [2]沈阳供电公司试验所,辽宁沈阳110000

出　　处：《陕西电力》2011年第8期37-41,共5页Shanxi Electric Power

摘　　要：提出了1种基于小波Mallat算法的次同步振荡实时监测方法,该方法可以通过对发电机转速或定子电流2种不同类型的信号进行多分辨率分析,在不同尺度上实现对次同步振荡的分量提取和奇异性检测,从而使次同步振荡的监测在时频域均具有较高的分辨率。现场实际应用表明该方法具有较好的工程应用价值。Rapid and accurate real-time monitoring method is the foundation to analyze and inhibit power system subsynehronous oscillation （SSO）. This paper presents a real-time SSO monitoring method based on Mallat algorithm of wavelet analysis,which analyzes the generator speed and stator current with multi-solution, extracts the SSO component, detects the SSO strangeness at different scales, so that improves the resolution level of SSO monitoring in time and frequency domain. Field application suggests that the method has good engineering practical value.

关 键 词：次同步振荡 小波分析 MALLAT算法 奇异性 

分 类 号：TM711[电气工程—电力系统及自动化]