基于小波包变换的电能质量扰动数据压缩

正交小波包变换可以对信号进行多频带分解，并根据被分解信号的特征，自适应地选择相应的频带，弥补正交小波变换的不足。将正交小波包变换与门限阀值相结合，应用于电能质量扰动数据压缩，并对其中最佳小波包的选取、门限阀值确定、算法实现等问题进行了讨论。对用电消耗信号、电压间断信号及暂态谐波失真信号进行了压缩仿真，并比较了这些信号在不同分解层次和门限限定系数取值时的压缩效果，结果验证了该方法的可行性和有效性。

Power quality disturbance data compression based on wavelet packet transform

Orthogonal wavelet packet transform can decompose the signal into different frequency bands,which chooses frequency bands adaptively to overcome the disadvantages of orthogonal wavelet transform. The algorithm combinihg orthogonal wavelet packet transform and threshold is applied to compress the power quality disturbance data. The key techniques,such as best wavelet packet selection, threshold determination,and algorithm implementation,are discussed. Data compressions for power consumption signal,voltage interruption signal and transient harmonic distortion signal are simulated and the compression results with different decomposition levels and threshold coefficients are compared. Results prove its feasibility and effectiveness.