安徽大学学报（自然科学版）2016，Vol.40Issue(3)：58-64,7.DOI:10.3969/j.issn.1000-2162.2016.03.010
基于复阻抗与支持向量机的电能质量扰动分类方法
A new classification method of power quality disturbances based on complex impedance and SVM
摘要
Abstract
It is a popular topic classifying the power quality disturbances precisely in power quality domain .A new classification method was presented in this paper which was based on the complex impedance and support vector machine . Firstly , this method extracted five common power quality disturbances from the UCI database ,including voltage sag ,voltage swell ,voltage interruption ,voltage oscillation and voltage impulsion .In order to figure out the complex impedance ,the phasor form of disturbing signal should be worked out firstly by using Hilbert transform .Then the features of complex impedance could be extracted for training ,testing and classifying in the support vector machine classifier .It was proved that this method can classify the real power quality disturbances from UCI database accurately . So this method was feasible and of certain value in application .关键词
扰动分类/复阻抗/支持向量机/电能质量Key words
disturbance classification/complex impedance/support vector machine/pow er quality分类
信息技术与安全科学引用本文复制引用
程志友,袁昊辰,杨韬..基于复阻抗与支持向量机的电能质量扰动分类方法[J].安徽大学学报（自然科学版）,2016,40(3):58-64,7.基金项目
国家自然科学基金资助项目（61172127）；高等学校博士学科点专项科研基金资助项目 （）
