电测与仪表Issue(23)：69-72,4.
基于 SVM 的电能质量扰动分类
Research of Power Quality Disturbance Classification Based On SVM
摘要
Abstract
There is much data about the power quality disturbance signals in the power system, so it is difficult to ex-tract the data.This paper adopted a method of discrete wavelet transformation to discompose the common power quality disturbances and the compound disturbances of their combination.This paper extracted the energy subtraction of the power quality disturbance signals as the signal feature vector so as to reduce the data of disturbance classification.The software of MATLAB was used to generate the disturbance signal samples and the Gauss white noise with the signal-noise ratio of 25 dB was added in the samples.Then the SVM was used to classify the disturbance samples and a two-step grid search method was proposed to optimize the SVM parameters.The simulation results showed that the proposed method had a very high identification rate and they also verified the correctness and robustness of this method.关键词
电能质量/分类/支持向量机/网格搜索法Key words
power quality/classification/support vector machine/grid search method分类
信息技术与安全科学引用本文复制引用
张红,雷志国,金月,谭万禹..基于 SVM 的电能质量扰动分类[J].电测与仪表,2014,(23):69-72,4.基金项目
吉林省科技发展计划项目（20130206049GX）；吉林省教育厅项目（2014339）；吉林省教育厅项目（2013297）；吉林省自然科学项目（20130101052JC）；长春工程学院青年基金 （）
