The invention discloses a low-overhead power data acquisition method based on distributed compressed sensing

A power data, compressed sensing technology, applied in electrical components, code conversion, etc., can solve the problems of unsatisfactory reconstruction results, not considering the correlation of monitoring data, and representing power data, so as to reduce transmission overhead and achieve good sparse representation. , the effect of reducing overhead
CN109905129AActive Publication Date: 2019-06-18HUNAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HUNAN UNIV
Publication Date
2019-06-18

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Abstract

The invention discloses a low-overhead power data acquisition method based on distributed compressed sensing. The overhead for acquiring power data in an intelligent power grid is reduced. The electric power sparse matrix can perform better sparse representation on the electric power data. According to the joint reconstruction algorithm, the original data can be accurately reconstructed at the terminal, and the power data transmission overhead is reduced to a great extent.
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Description

technical field

[0001] The invention relates to a low overhead power data acquisition method based on distributed compressed sensing. Background technique

[0002] In recent years, with the development of science and technology, the power grid is transforming into a smart grid, which is gradually combined with advanced sensors and smart infrastructure. How to accurately assess the state of the power system becomes the key to the power transmission network. State estimation requires sampling power data, including voltage, current, power, etc., through meters at different locations in the transmission network. The correct operation of the smart grid depends on the collection of fine-grained state detection data of the power grid. However, the direct transmission of the original detection data brings a large amount of transmission and storage overhead.

[0003] In response to this problem, the Nyquist theorem can greatly reduce the data acquisition overhead. In this way, as ...

Claims

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