摘要
针对大量电能质量数据的传输和储存问题,提出一种结合快速傅里叶变换(FFT)和二代小波(SGWT)的电能质量数据压缩算法,包括FFT、SGWT有损压缩和LZW(字符串表编码)无损压缩的流程图。分别对暂态和稳态扰动信号进行仿真比较,结果表明所提出的算法与FFT以及SGWT相比,可有效降低存储空间,可得到更高的压缩率且在压缩比、均方误差与运行时间等性能指标上取得较好平衡。
In order to deal with the very great amount of power quality data, combining SGWT （second generation wavelet transform） and FFT （fast Fourier transform）, this paper proposes a new algorithm for power quality data compression, including the flowcharts of lossy compression with FFT and SGWT, and lossless compression with LZW （Lempel-Ziv-Welch）. The simulations on the disturbing signals of transient and steady situations are carried out in comparison between the proposed algorithm and FFT as well as SGWT, and the results show that former is better to decrease the memory space and increase the compressed ratio as well as achieve satisfied balance among compressed ratio, root mean square error and execution time.
出处
《南方电网技术》
2013年第3期89-93,共5页
Southern Power System Technology
关键词
快速傅里叶变换
二代小波变换
字符串表编码
电能质量
数据压缩
FFT （fast Fourier transform）
SGWT （second generation wavelet transform）
LZW （Lempel-Ziv-Welch）
compressed ratio
root mean square error
power quality
data compression
