动态电能质量的分形指数小波分析方法  

FRACTAL EXPONENT WAVELET ANALYSIS OF DYNAMIC POWER QUALITY

作　　者：王晶[1] 束洪春[2] 陈学允[1] 

机构地区：[1]哈尔滨工业大学电气学院,哈尔滨150001 [2]昆明理工大学电力学院,昆明650051

出　　处：《中国电机工程学报》2004年第5期40-45,共6页Proceedings of the CSEE

基　　金：云南省科技攻关项目(2000B2-02);云南省应用基础研究项目(98E0409M;99E006G;2002E0025);云南省中青年学术和技术带头人培养经费项目

摘　　要：分形理论是近年来发展较快的一门学科,在信号处理和数据压缩方面具有较强的功能。小波理论为分析分形局部细微性质和研究分形体的构造规则提供了有效手段。利用小波与分形的内在联系,该文从小波变换后的系数中,提取扰动的全局分形指数和局部分形指数作为动态电能质量扰动的特征,建立了识别扰动类型的分形指数小波分析方法。通过对由PSCAD/EMTDC软件仿真得到的12种典型动态电能质量扰动波形的识别,证明该方法不但能对单一扰动进行识别,而且能在多种扰动叠加的情况下,找出关键扰动的特征,进行正确分类。该文方法为动态电能质量扰动的检测、识别与分类提供了新的思路。Recently, fractal theory is developed quite rapidly. It holds a strong function in the field of signal processing and data compressing. Wavelet theory provides an effective means for analyzing fractal local minute features and investigating the construction rules for fractal system. In a view of the inter relationship of wavelet transform (WT) and Fractal theory, a novel method named fractal exponents wavelet analysis method, which regards the whole and local fractal exponents obtained from WT coefficients as features, is presented for extracting dynamic power quality disturbances features. By analyzing 12 typical disturbances obtained through PSCAD/EMTDC simulation, it is proved that the new method can not only identify single and simple disturbance, but also extract main disturbance features from a complex event which is composed of several disturbances. The new method gives a entirely new way for detection, identification and classification of dynamic power quality disturbances.

关 键 词：动态电能质量 分形指数 小波分析方法 信号处理 电力系统 

分 类 号：TM711[电气工程—电力系统及自动化]