Electric power system data reconfiguration decompressing method based on orthogonal matching pursuit

An orthogonal matching tracking and power system technology, applied in electrical components, code conversion, etc., to solve problems such as loss of energy supply, loss of performance, and failure

Inactive Publication Date: 2013-05-29
JIANGSU UNIV
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This contradiction is even more acute in some cases. For example, in field operations or military operations, the equipment for collecting data is often exposed to the natural environment, an

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  • Electric power system data reconfiguration decompressing method based on orthogonal matching pursuit
  • Electric power system data reconfiguration decompressing method based on orthogonal matching pursuit
  • Electric power system data reconfiguration decompressing method based on orthogonal matching pursuit

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[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] The steps of the power system data reconstruction and decompression method based on orthogonal matching pursuit in the present invention are as follows:

[0030] (1) Analyze the compressed power quality data obtained based on the compressed sensing sampling theory, and obtain relevant parameters such as the sensing matrix.

[0031] (2) Apply the orthogonal matching tracking decompression method of power quality data to establish the relationship between the compressed sampling data sequence and the sensing matrix, select the atoms that best match the signal from the sensing matrix to construct a sparse approximation, and recursively perform normalization on the selected atom set. Interchange, the sparse vector corresponding to the original power quality data is proposed in successive iterative operations, and the original power quality data sequence is...

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Abstract

The invention discloses an electric power system data reconfiguration decompressing method based on orthogonal matching pursuit. A compressed sensing theory is adopted for conducting parallel data compression of sampling and compression on an electric power quality signal. The method includes that first, a line with the largest correlation with margin is selected in a sensing matrix, and simultaneously a selected space is updated. By solving a least square problem, residual is guaranteed to be minimum, sparse vector elements are obtained, then, the residual is updated, selected lines in the sensing matrix are removed, and finally sparse elements are obtained through loop iteration. By means of the method, the compressed sensing theory is adopted for conducting sparse decomposition on electric power quality data, then gauss measuring coding is conducted on sparse signals, and finally a signal is reconfigured through an orthogonal matching pursuit algorithm. The method breaks through a traditional data compression method framework of first sampling and then compressing, sampling and compression are conducted parallelly, a small amount of sampling can recover an original electric power quality signal well, a requirement for hardware is reduced, and compression efficiency is improved.

Description

technical field [0001] The invention relates to a power system data reconstruction and decompression method, in particular to a power quality data orthogonal matching tracking reconstruction and decompression method based on the compressed sensing theory. Background technique [0002] With the expansion of the grid scale, a large number of new automatic monitoring and protection devices are applied to the power system, and the development of electrical informatization has improved the automation and informatization level of power system operation management. The power sector needs to monitor power system voltage, current and other data in real time in order to analyze fluctuations, flicker, harmonic conditions, impedance frequency characteristics and power quality, which will result in a huge amount of data, whether it is stored locally or transmitted to the power sector. will bring a heavy burden. The research and application of data compression and decompression technolog...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 刘慧沈跃刘国海陈兆岭张浩赵文祥白雪蒋彦
Owner JIANGSU UNIV
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