A Compressed Sensing Reconfiguration Method Applicable to Microgrid Harmonic Monitoring

A technology of compressed sensing reconstruction and harmonic monitoring, applied in other decoding technologies, etc., can solve problems such as unsatisfactory reconstruction effect and failure to consider the characteristics of micro-grid harmonic signals

Active Publication Date: 2017-06-09
TIANJIN UNIV
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Problems solved by technology

However, none of these existing compressed sensing reconstruction methods, including the spectral projection gradient method, takes into account the characteristics of the harmonic signal of the microgrid, which makes the reconstruction effect not very ideal

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  • A Compressed Sensing Reconfiguration Method Applicable to Microgrid Harmonic Monitoring
  • A Compressed Sensing Reconfiguration Method Applicable to Microgrid Harmonic Monitoring
  • A Compressed Sensing Reconfiguration Method Applicable to Microgrid Harmonic Monitoring

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[0046] A compressive sensing reconstruction method suitable for micro-grid harmonic monitoring according to the present invention will be described in detail below in combination with embodiments and drawings.

[0047] A compressive sensing reconstruction method suitable for micro-grid harmonic monitoring of the present invention, the fundamental wave filtering is performed on the compressed sampling value y in the early stage to obtain the sparse vector estimated value of the fundamental wave component and a compressed sampled value y containing only harmonic components harmonic , then for y harmonic The process of signal reconstruction of harmonic components using spectral projection gradient method to obtain sparse vector estimates of harmonic components Finally reconstruct the original harmonic signal The monitored N×1-dimensional microgrid harmonic original signal x is compressed and measured with a measurement matrix to obtain an M×1-dimensional compressed sampling ...

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Abstract

A compression sensing reconstruction method for monitoring a microgrid harmonic wave, comprising: setting a sensing matrix (I); initializing fundamental wave filtering; conducting fundamental wave filtering; filtering a fundamental wave component in a compression sampling value; conducting parameter initialization by spectral projection gradient method; utilizing the spectral projection gradient method; reconstructing the sparse vector estimation value ŝharmonic of the harmonic wave component by utilizing the harmonic wave component compression sampling value yharmonic as an input variable; and completing the reconstruction of a microgrid harmonic wave original signal x. The present invention conducts fundamental wave filtering on a microgrid harmonic wave compression sampling value to obtain a sparse vector estimation value of the harmonic wave component and the harmonic wave component compression sampling value (only comprising a harmonic wave component) after filtering the fundamental wave component, thus effectively improving harmonic wave signal reconstruction effect, and being more suitable for microgrid harmonic wave monitoring.

Description

technical field [0001] The present invention relates to a reconstruction method of compressed sensing, further relates to the reconstruction of compressed data for micro-grid harmonic monitoring, and in particular to a compressed sensing reconstruction method suitable for micro-grid harmonic monitoring. Background technique [0002] Under the dual pressure of energy demand and environmental protection, the international energy community has turned more attention to related research fields of microgrid technology. Microgrid, also known as microgrid, refers to a small-scale power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads, monitoring and protection devices, which can be connected to the external distribution network and run in parallel. It can operate in isolation and is an important part of the future smart grid. A large number of distributed power sources and power electronic dev...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M13/39
CPCH03M13/39
Inventor 杨挺袁博冯瑛敏盆海波王洪涛游金阔徐明玉
Owner TIANJIN UNIV
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