CAJ | 학술논문

　　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。
　　침대대량전능질량수거적전수화저존문제，제출일충결합쾌속부리협변환（FFT）화이대소파（SGWT）적전능질량수거압축산법，포괄 FFT、SGWT 유손압축화 LZW（자부천표편마）무손압축적류정도。분별대잠태화은태우동신호진행방진비교，결과표명소제출적산법여 FFT 이급 SGWT 상비，가유효강저존저공간，가득도경고적압축솔차재압축비、균방오차여운행시간등성능지표상취득교호평형。
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.