|
| 摘要: |
| 小波变换与Fourier变换相比具有良好时域局部化特征，时域窗口随信号的变化自动调整。综述了近年来小波分析在电力系统中的应用情况，按照小波分析在电力系统各个应用领域进行分类、归纳和总结，说明了小波分析在电力系统各方面的应用是相当成功的，有很广阔的应用前景。同时也指出小波分析的不足之处，表现在2个方面；线调频小波变换比小波变换的时域窗口更加灵活，对噪声和和信号频率混叠现象的消噪分离更有效；小波分析缺乏有效的快速算法，因而很难满足实时性的要求，同时基于它用来检测、分析电力系统中出现的各种故障的相应硬件产品还未研制出来。 |
| 关键词: 小波变换 线调频小波变换 电力系统 故障检测 |
| DOI： |
| 分类号:TM711 |
| 基金项目:国家自然科学基金资助项目 (5 0 0 770 0 8) |
|
| Application of wavelet transform to electric power system |
|
HU Guo sheng 1 2 REN Zhen 1 HUANG Wen ying 1
|
| Abstract: |
| Wavelet Transform (WT)has a better characteristic of time frequency location than fourier transform,and its time frequency windows modulate adaptively with signal change.In this paper,the applications of wavelet analysis are classified and summarized according to its application areas of the electric power system in recent years.It shows that the wavelet analysis application to the electric power system is very successful and has a promising future.Meanwhile,it points out its shortages in two aspects.Chirplet Transform (CT)is more flexible than WT in time frequency windows and hence more effective in the denoising of frequency mix folded signals.WT is lack of the rapid and effective algorithms to satisfy the real time processing and the WT based hardware for detecting and analyzing electric power system faults has not been developed yet. |
| Key words: wavelet transform,chirplet transform,electric power system,fault detection |
