摘要
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MATLAB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.
出处
《电测与仪表》
北大核心
2014年第23期60-63,共4页
Electrical Measurement & Instrumentation
基金
国家留学基金委资助项目(201307790010)
吉林市科技发展计划项目(2013625006)
关键词
三相电
压缩传感
信号融合
电能质量
three-phase electricity
compressed sensing
signal fusion
power quality
