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Self-adaptive reconstruction and uncompressing method for power quality data based on compressive sensing theory

A power quality, compressed sensing technology, applied in electrical components, code conversion, etc., can solve problems such as inconvenience

Inactive Publication Date: 2013-02-20
镇江华飞检测技术有限公司
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Problems solved by technology

However, the above algorithms all require the sparsity of the known signal, which brings great inconvenience to practical applications.

Method used

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  • Self-adaptive reconstruction and uncompressing method for power quality data based on compressive sensing theory
  • Self-adaptive reconstruction and uncompressing method for power quality data based on compressive sensing theory
  • Self-adaptive reconstruction and uncompressing method for power quality data based on compressive sensing theory

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Embodiment Construction

[0019] In compressive sensing theory, through compressive sensing observation matrix Realize the compressed sampling of power quality signal. Power Quality Signal The compressed sampling value of is expressed as:

[0020]

[0021] In the formula yes The compressed sampling value of the power quality signal of dimension, yes dimensional power quality signal, yes dimensional compressed sensing observation matrix, yes Dimensional sparse transformation basis matrix, yes Dimensional sparse transform signal, yes dimension perception matrix.

[0022] Compressed samples Dimensions of M much lower than the original signal dimensionality N ,Right now Realize high-dimensional data ( dimension) to low-dimensional data ( Dimension) projection, realizes the data compression process. like Under the premise of including enough reconstructed signal information, the projection matrix satisfies the condition of constrained equidistance, and the recons...

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Abstract

The invention discloses a self-adaptive reconstruction and an uncompressing method for power quality data based on a compressive sensing theory. A power quality data compression process with concurrent sampling and compression is achieved through a random measurement matrix, compressive sensing thoughts are used to perform sparse decomposition on the power quality data, sparse signals are subjected to Gaussian measurement encoding, and a self-adaptive matching pursuit algorithm is applied to reconstruct signals. According to the self-adaptive reconstruction and the uncompressing method, the random measurement matrix is simple in structure and quick in operation, in no need of intermediate variable storage space and independent of power disturbance signal characteristics, and has universality; compared with greedy algorithms of an orthogonal matching pursuit and the like, known sparseness is not needed, self adaption and regularization processes are provided, the operation time is short, and accurate reconstruction can be achieved; and constraints of compression after sampling of traditional data compression methods are broken through, little sampling can recover original power quality signals well, and accordingly, requirements for hardware can be reduced, and the compression efficiency is improved.

Description

technical field [0001] The invention relates to power system data compression technology, in particular to an adaptive reconstruction and decompression method for power quality data based on compressed sensing theory. Background technique [0002] With the expansion of the grid scale and the development of electrical informatization, a large number of new automatic monitoring and protection devices are applied to the power system. On the one hand, the automation and informatization level of power system operation management has been improved. The data communication and storage of the system cause a great burden. The research and application of data compression technology is of great significance to reduce the burden of data storage, improve the real-time performance of power communication, accelerate the development of informatization, and improve the level of power system operation and management. Traditional data compression methods such as Fourier transform and discrete ...

Claims

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Application Information

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IPC IPC(8): H03M7/38
Inventor 刘慧刘国海沈跃陈兆岭张浩赵文祥白雪蒋彦
Owner 镇江华飞检测技术有限公司
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