电工技术学报2017，Vol.32Issue(17)：21-34,14.DOI:10.19595/j.cnki.1000-6753.tces.161483
基于改进形态滤波器和弧长差分序列的微电网电能质量扰动定位与识别
Location and Identification of Micro-Grid Power Quality Disturbances Based on Modified Morphological Filter and Arc Length Differential Sequence
摘要
Abstract
Aiming at the problem of location and identification of micro-grid power quality disturbances with strong noise,a novel method based on modified morphological filter and arc length difference sequence is proposed to locate and identify disturbances.Firstly,the dilation function and the erosion function are separately improved to the mean-dilation function and the mean-erosion function,and the improved alternating hybrid morphological filter is used to filter the power quality signal.Then,on the basis of the analysis of the disturbance waveform and the three typical disturbance examples,the arc length differential sequence of the filtered signal is defined and calculated.Finally,based on the arc length difference sequence,disturbance time is accurately located,the amplitude and peaks characteristics are extracted from the arc length difference sequence and filtered signal.These characteristics are input to the identifier defined by the disturbance identification rules to get the final identification results.The simulation and one practical micro-grid data test shown that the proposed method could accurately locate and identify 5 types of single disturbances and 3 types of complex disturbances mixed with different intensity of noise,and is suitable for the disturbances location and identification of actual micro-grid power quality.关键词
电能质量扰动/定位与识别/改进形态滤波器/弧长差分序列/微电网Key words
Power quality disturbance/location and identification/modified morphological filter/arc length differential sequence/micro-grid分类
信息技术与安全科学引用本文复制引用
卓金宝,施伟锋,兰莹,张威,卢捷..基于改进形态滤波器和弧长差分序列的微电网电能质量扰动定位与识别[J].电工技术学报,2017,32(17):21-34,14.基金项目
国家自然科学基金(61503240)、高等学校博士学科点专项科研基金(20123121110003)和上海海事大学研究生创新基金(2016ycx078)资助项目. （61503240）
