首页 | 本学科首页   官方微博 | 高级检索  
     

基于数学形态学消噪的电能质量扰动检测方法
引用本文:岳蔚,刘沛. 基于数学形态学消噪的电能质量扰动检测方法[J]. 电力系统自动化, 2002, 26(7): 13-17
作者姓名:岳蔚  刘沛
作者单位:华中科技大学电气与电子工程学院,湖北省武汉市,430074
基金项目:国家自然科学基金资助项目 (5 96 770 10,5 0 1770 11)
摘    要:提出了一种利用数学形态滤对波形进行预处理,然后用小波检测电力系统扰动的方法。该算法着力解决电力系统扰动中滤除随机噪声和和脉冲噪声的困难,利用数学形态学设计的前置滤波单元在有效抑制各种噪声的同时,较好地保持了扰动的基本形状;小波变换算子则有效地检测出扰动并进行精确定位。MATLAB仿真表明所提算法可以准确检测电能扰动时的波形畸变点,同时,形态学-小波综合算法的计算量较单一的低通滤波器和多尺度小波变换的计算量小,有利于工程实现。

关 键 词:电能质量 扰动辨识 小波分析 数学形态学 形态滤波器 扰动检测 电力系统
收稿时间:1900-01-01
修稿时间:1900-01-01

DETECTION OF POWER QUALITY DISTURBANCES BASED ON MATHEMATICAL MORPHOLOGY (MM) FILTER
Yue Wei,L iu Pei Huazhong U niversity of Science and Technology,Wuhan ,China. DETECTION OF POWER QUALITY DISTURBANCES BASED ON MATHEMATICAL MORPHOLOGY (MM) FILTER[J]. Automation of Electric Power Systems, 2002, 26(7): 13-17
Authors:Yue Wei  L iu Pei Huazhong U niversity of Science  Technology  Wuhan   China
Affiliation:Yue Wei,L iu Pei Huazhong U niversity of Science and Technology,Wuhan4 30 0 74,China
Abstract:A new scheme for power transient signal analysis in noisy environment is proposed in this paper.This algorithm aim s to improve the filter perform ance when such filter is applied to filter the random and pulsed noises.By use of the preset filter unit based on m athem atical morphology,the disturbance wave is held,m eanwhile a variety of noises can be greatly suppressed.Wavelet transform provides such algorithm that the disturbance can be detected and accurately located.Based on the above integrated filter algorithm,various kinds of power quality disturbance in noisy condition can be detected. Simulations based on MATL AB program demonstrate the effectiveness of this algorithm.It is indicated that this integrated morphology- wavelet filter algorithm has less com putational com plexity than single low- pass filter and m ulti- resolution waveform transform,which m akes it possible to be implemented in industrial product.
Keywords:power quality  disturbance identification  wavelet analysis  mathematical morphology MM  morphological filters
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号