| 引用本文: | 张秀娟,徐永海,肖湘宁.电能质量扰动小波变换检测与识别方法的发展[J].电力自动化设备,2003,(9):67-71 |
| .Development of wavelet-transform-based power quality disturbance detection and identification[J].Electric Power Automation Equipment,2003,(9):67-71 |
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| 摘要: |
| 电能质量扰动问题近年来已经成为众多领域关注的焦点，国内外学者提出了一系列对电能质量扰动进行分析的方法。介绍几种常用的电能质量扰动检测和识别方法，重点分析了基于小波变换以及小波变换与其他方法如时域分析法、d-q变换、人工神经网络等相结合的电能质量扰动识别方法，比较了各种方法的特点，指出了该领域研究发展的前景。 |
| 关键词: 电能质量 扰动检测与识别 小波变换 奇异性 |
| DOI： |
| 分类号:TM761 |
| 基金项目:高等学校博士学科点专项科研基金资助项目(20010079002)~~ |
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| Development of wavelet-transform-based power quality disturbance detection and identification |
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ZHANG Xiu-juan XU Yong-hai XIAO Xiang-ning
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| Abstract: |
| In recent years,power quality disturbance has been concerned in many fields.Many me -thods to analyze this proble m have been put forward now.Several approaches commonly used to detect and identify the disturbances are presented.The wavelet-transform-based methods and its combination with other arithmetic,such as time-domain analysis,d-q conversion,artificial neural net-work etc.,are focused on.The performance comparisons are made among these approaches,including merits and defects.The study prospect of power quality disturbance detection and identification is given. |
| Key words: power quality,disturbance detection and identification,wavelet transform,singularity |
