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

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...

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 traditional data sampling methods are based on the Nyquist sampling theorem, but due to the actual environment Complicated, the sampling frequency of the signal is high, resulting in heavy storage and transmission pressure at the sampling end

Images