Power quality signal detection device based on compressed sensing blind signal separation technology

A technology of power quality and compressed sensing, applied in measuring devices, measuring electrical variables, measuring electricity, etc., can solve the problems of high storage and transmission pressure at the sampling end, high signal sampling frequency, etc., and achieve the effect of reducing the pressure of mass storage and data transmission

Active Publication Date: 2017-03-29
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the intelligent development of the power grid, the sampling and transmission of massive power quality signal data in the power grid and the separation and detection of each component source signal have become increasingly prominent. The

Method used

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  • Power quality signal detection device based on compressed sensing blind signal separation technology
  • Power quality signal detection device based on compressed sensing blind signal separation technology
  • Power quality signal detection device based on compressed sensing blind signal separation technology

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Embodiment 1

[0050] The embodiment of the present invention aims at the key problems of the continuous growth of data volume and increasingly serious power quality pollution in the power system, the separation of power quality signals and the collection and transmission of massive data, and forms a power quality signal detection device based on compressed sensing blind source signal separation technology, see figure 1 , figure 2 and image 3 , the core of this device is to implement a self-proposed compressed sensing blind source signal separation detection method in the DSP+ARM calculation and analysis unit.

[0051] The separation detection method adopts a two-step method for m-channel power quality observation signals to realize blind source separation of power quality signals. In the first step, on the basis of estimating the number of power quality source signals, linear clustering is used to estimate the mixing matrix; in the second step, the compressed sensing recovery method is u...

Embodiment 2

[0054] The structure of a power quality signal detection device based on compressed sensing blind source signal separation technology in Embodiment 1 will be described in detail below in conjunction with specific drawings. The device diagram is as follows figure 1 shown.

[0055] The device includes: a signal conditioning module 1, a signal sampling module 2, and a signal processing and analysis module 3, wherein the signal conditioning module 1 uses a voltage transformer / current transformer 11 to connect to the grid, and the power quality signal in the power system Connect to the device, and filter out the interfering high-frequency signal through the anti-aliasing low-pass filter 12;

[0056] The signal sampling module 2 includes: a multi-channel synchronous sampling A / D converter 21 , a sampling interval control logic unit 22 , and a frequency multiplication phase-locked synchronization control unit 23 .

[0057] Signal processing analysis module 3 includes: ARM+DSP core c...

Embodiment 3

[0071] The hardware implementation diagram of the compressed sensing blind source signal separation detection method in the ARM+DSP calculation and analysis module is shown in the figure image 3 shown. The m-channel observation signal H(t) is filtered out by a 2500Hz low-pass filter to filter out high-frequency signals to reduce the impact of high-frequency signals on system detection and ensure the detection accuracy of the device. After H(t) is sampled by A / D to obtain the sample sequence [h 1 (1)... h 1 (k)...h m (1)... h m (k)], and enter the DSP chip in the form of digital input, through the internal separation detection algorithm processing of the DSP chip, according to the Fourier transform to the frequency domain, form a spectrum scatter diagram, determine the number n of source signals according to the straight line direction, And use the clustering method to estimate the mixing matrix, and finally use the CoSaMP algorithm to reconstruct each source signal.

[0...

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Abstract

The invention discloses a power quality signal detection device based on compressed sensing blind signal separation technology. The device comprises a signal conditioning module, which is used for adopting a voltage transformer or a current transformer to connect with a power grid, enabling a power quality signal in an electric system to be input and carrying out filtering through an anti-aliasing low-pass filter to obtain an interference high-frequency signal; a signal sampling module, which is used for carrying out multi-channel synchronous sampling conversion on m-path observation signals and enabling the signals to be input to a signal processing and analysis module in a digital input manner; and the signal processing and analysis module, which is used for carrying out Fourier transform when the digital signals are input to the signal processing and analysis module having an ARM management control function and a DSP calculation and analysis function to obtain complex matrixes, extracting spectrum amplitudes of the two paths of observation signals in the complex matrixes to form a spectrum scatter diagram, determining the number of source signals according to line direction, estimating a hybrid matrix through a clustering method, reconstructing each source signal through a CoSaMP algorithm, and storing the results and outputting and displaying the estimated value of the number of source signals, the estimated hybrid matrix and the separated source signals.

Description

technical field [0001] The invention relates to the field of compressed sensing blind source signal separation detection, in particular to a power quality signal detection device based on compressed sensing blind source signal separation technology. Background technique [0002] With the rapid development of informatization, the degree of intelligence of the power system continues to increase. On the one hand, as part of information acquisition, the perception layer includes a heterogeneous sensor network with hundreds or thousands of sensors, resulting in a huge data scale and generating massive amounts of data. At the same time, the data processing unit of the power system needs to process a large amount of data in real time and efficiently. On the other hand, due to various distributed power sources and nonlinear loads connected to the power grid, the problem of power quality pollution is becoming more and more serious. With the intelligent development of the power grid...

Claims

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Application Information

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IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 杨挺盆海波王林林黄志勇李洋
Owner TIANJIN UNIV
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