基于小波变换和模糊专家系统的暂态电能质量扰动辨识方法  

Method of Distinguish Transient Power Quality Disturbance based on Wavelet Transform and Fuzzy Expert System

作　　者：罗鸣[1] 王允彬[1] 顾海宝 

机构地区：[1]长沙理工大学,湖南长沙410015 [2]巴州电力有限责任公司,新疆库尔勒841000

出　　处：《电源技术应用》2013年第4期38-42,共5页Power Supply Technologles and Applications

摘　　要：提出一种基于小波变换和模糊专家系统的暂态电能质量扰动辨识方法，利用小波变换优良的时频性和快速的Mallt算法对信号进行检测，提取电压变化幅值和持续时间等为特征量。将获取的特征量输入模糊专家系统进行电能质量扰动辨识的研究。结果表明，该方法能有效区分各类暂态电能质量扰动。A method of distinguish transient power quality disturbance based on wavelet transform and fuzzy expert system is presentsd.Useing the wavelet transform and fast Mallat algorithm check the signal, distilling the voltage amplitude and time of duration as the characteristic variable.Then the characteristic variable is inputted into the fuzzy expert system and analysed.The result show that the method can distinguish many kinds of transient power quality disturbance effectively.

关 键 词：电能质量 小渡变换 特征提取 模糊专家系统 扰动辨识 

分 类 号：TM76[电气工程—电力系统及自动化]