提出了一种基于压缩传感的三相电能质量数据压缩新方法。首先，将时间t内的三相电能质量扰动信号转换为3t时间内的一维信号；然后，将传统的多频带融合问题理论应用于压缩感知稀疏基设计中，构造稀疏基；最后，选取高斯随机矩阵作为观测矩阵，OMP算法作为重构算法，重构三相电能质量扰动信号并利用MAT-LAB进行仿真。实验结果表明，该方法可以有效压缩三相电能质量数据，实现三相电能质量扰动信号同时处理，并同时检测出多项性能指标参数。%This paper presented a new method of three-phase power quality data compression based on compressed sensing.First of all, the three-phase power quality disturbance signals within the time of t were converted into one-dimension signals within the time of 3t;Then, the traditional theory of the multi-band fusion problem was applied to the design of the compression perception sparse matrix to construct a sparse matrix;Lastly, the Gaussian random ma-trix was chosen as the observation matrix and the OMP algorithm as the reconstruction algorithm to reconstruct the three-phase power quality disturbance signals and simulate them through MATLAB.The experiment results showed that the method could effectively compress the three-phase power quality data,to implement the simultaneous pro-cessing of the three-phase power quality disturbance signals, and detect multiple performance parameters.
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