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

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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Problems solved by technology

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, and may lose energy supply or even partially lose performance at any time. Under such circumstances, the traditional data acquisition-compression-transmission-decompression mode basically fails

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