压缩感知伪随机动态功率信号的电能测量方法

王学伟; 董晓璇; 袁瑞铭; 周丽霞; 王婧; 王琳

doi:10.11999/JEIT160416

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压缩感知伪随机动态功率信号的电能测量方法

doi: 10.11999/JEIT160416

1.
(北京化工大学信息科学与技术学院北京 100029) ②(国网冀北电力有限公司电力科学研究院北京 100045)

基金项目:

国家自然科学基金(51577006)，国网冀北电力有限公司电力科学研究院项目(8KE000M15015)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-04-28
- 修回日期: 2016-09-30
- 刊出日期: 2017-03-19

Compressive Sensing Measurement for Electrical Energy of Pseudo Random Dynamic Test Signal

1.
(College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)
2.
(Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China)

Funds:

The National Natural Science Foundation of China (51577006), The Power Research Institute Foundation of State Grid Jibei Electric Power Company Limited (8KE000M15015)

摘要

摘要: 针对压缩感知检测方法不能准确测量伪随机动态测试信号电能量值的问题，该文首先分析了动态测试信号的频域稀疏性，证明动态测试信号满足压缩感知检测的条件；然后采用系统稳态优化的方法，构造了一种确定型压缩感知测量矩阵，证明其符合限制等距特性(RIP)条件，最后提出了一种新型压缩感知动态测试信号电能量的测量方法。实验结果表明：该文压缩感知测量方法的理论相对误差优于传统的采样功率电能测量方法，能够实现m序列动态测试信号的电能量值准确测量。
- 压缩感知 /
- 电能测量 /
- 压缩感知测量矩阵 /
- 电能量压缩感知测量方法 /
- 伪随机动态测试信号
Abstract: Focus on the problem that Compressive Sensing (CS) measurement can not measure the electrical energy of pseudo random dynamic test signal accurately, in this paper, the spectral sparseness of pseudo random dynamic test signal is firstly analyzed, and dynamic test signal satisfies the measurement condition of compressive sensing is proved. Secondly, the system stable state optimization method is used to establish the deterministic compressive sensing measurement matrix, which meets the RIP (Restricted Isometry Property) condition. Finally, a new compressive sensing measurement methed for the electrical energy of pseudo random dynamic electric energy is proposed. The experimental result shows that the theoretical error of the compressive sensing measurement is superior over traditional sample power electrical energy measurement, and it can measure the pseudo random dynamic electrical energy accurately.