基于傅立叶算法和小波分析的电能质量自动监测系统  

Smart Wireless Power Quanlity Monitoring Sysytem Based on Fast Fourier Transformation and Wavelet Transformation

作　　者：王晓[1] 何晓颖[2] 

机构地区：[1]东北电力大学,吉林吉林132012 [2]北京交通大学,北京100044

出　　处：《吉林电力》2010年第1期30-31,35,共3页Jilin Electric Power

摘　　要：针对电能质量监测,特别是电网谐波污染问题,提出了一种基于单独芯片技术SCM的电能质量监测系统,通过模型转换和信号模拟模型识别电能信号,采用MATLAB软件进行谐波测试。系统软件利用快速傅立叶算法FFT和小波分析法WT对谐波进行分析,克服了FFT的缺点,通过仿真证明FFT和WT算法相结合的方法是合理有效的。According to the power quality monitoring, especially power grid harmonic contamination, power quality monitoring system based on single chip multi-processor has been proposed. Power quality signals could be recognized by model transformation and signal simulation model. Harmonic measuring could be performed by MATLAB software. Disadvantages of FFT have been avoided by FFT.＆WT. Simulation also proves the reasonable and effective of FFT ＆WT

关 键 词：快速傅立叶算法 小波分析法 电能质量 谐波 

分 类 号：TM933.4[电气工程—电力电子与电力传动] TM76