基于改进S变换的电能质量扰动分类新方法  

New method for power quality disturbance classification based on modified S transform

作　　者：张淑清[1] 李盼[1] 师荣艳 胡永涛[1] 姜万录[1] 刘子玥 

机构地区：[1]燕山大学电气工程学院河北省测试计量技术及仪器重点实验室,秦皇岛066004

出　　处：《仪器仪表学报》2015年第4期927-934,共8页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(51475405;61077071);河北省自然科学基金(F2015203413);河北省高等学校科学技术研究重点(ZD2014100)项目资助

摘　　要：提出一种改进的S变换(MST)方法并应用在电能质量扰动识别中。针对S变换(ST)窗函数固定、时频分辨率不能调节的问题,对S变换中的窗函数引入参数p、q进行改进,使时频分辨率的调节更加灵活。提出确定p、q的评价指标,使得p、q的求取具有一定自适应性和理论依据。用MST提取电能质量扰动的特征向量,根据电能质量扰动信号的MST分析结果,提出4种扰动特征作为特征向量,解决了特征向量冗余的问题。仿真数据和工程数据实验分析结果表明,该方法具有更好的抗强噪声性,使电能质量扰动分类精度更高。为复杂信号特征提取提供了一种有效途径,也为电能质量分类提供了一种新的方法。A new method of modified S-transform （MST） was proposed and applied in power quality disturbance rec- ognition. In order to solve the problems of the S-transform （ST） that the window function is fixed and the time-fre- quency resolution can not be adjusted, the parameters p and q are introduced in the window function of the S-trans- form to adjust the time-frequency resolution more flexibly. The evaluation indexes for determining the parameters p and q are put forward, which provide the theoretical basis for defining them adaptively. The MST is used to extract the characteristic vectors of the power quality disturbance, and four disturbance features are introduced as the feature vectors based on the MST analysis results, which solve the redundancy of the characteristic vectors. Experiment analysis results of simulation data and engineering data show that the proposed method has better anti-strong-noise property and makes the power quality disturbance classification accuracy higher. The proposed method provides an effective way for the feature extraction of complex signals, and also provides a new method for power quality disturb- ance classification.

关 键 词：改进S变换(MST) 窗函数 特征提取 电能质量扰动识别 

分 类 号：TM71[电气工程—电力系统及自动化] TH183.3[机械工程—机械制造及自动化]