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A non-synchronous compressive sensing detection method for grid harmonics with continuous hanning window

A technology of compressed sensing and detection methods, applied in the direction of measuring devices, measuring electrical variables, instruments, etc., can solve problems such as poor detection accuracy, low efficiency of reconstruction algorithms, and poor signal frequency domain sparsity, so as to reduce the impact and improve Effects of reconstruction efficiency and detection accuracy

Active Publication Date: 2021-02-05
陕西星见动能电气科技有限公司
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Problems solved by technology

[0005] In order to effectively solve the problem that the signal sparsity in the frequency domain becomes worse due to the asynchronous sampling of the RD-AIC, and then cause the problems of low efficiency of the reconstruction algorithm and poor detection accuracy, the present invention provides a grid harmonic with continuous Hanning window Wave Asynchronous Compressed Sensing Detection Method

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  • A non-synchronous compressive sensing detection method for grid harmonics with continuous hanning window
  • A non-synchronous compressive sensing detection method for grid harmonics with continuous hanning window
  • A non-synchronous compressive sensing detection method for grid harmonics with continuous hanning window

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Embodiment 1

[0124] Discrete Fourier transform is performed on the signals of power grid harmonics generated by formula (16) under synchronous sampling, asynchronous sampling and asynchronous plus continuous Hanning window sampling, and the three amplitude spectra obtained respectively are as follows: image 3 As shown, the amplitude and relative error of each harmonic are shown in Table 1.

[0125] Table 1

[0126]

[0127] When sampling synchronously, the sampling frequency is set to an integer multiple of the power frequency. At this time, the spectrum leakage phenomenon will not occur in the amplitude spectrum of each harmonic. The sparsity of the harmonic signal in the frequency domain is the best and the amplitude of each component can be accurate. Detection; when sampling asynchronously, because the sampling frequency is not an integer multiple of the power frequency, the amplitude spectrum will leak due to non-full cycle sampling, the sparsity of the harmonic signal will become ...

Embodiment 2

[0130] according to figure 2 Specifically implement steps 1 and 2) Firstly, generate grid harmonic signal x with continuous Hanning window 1 (t) into the RD-AIC, and with the frequency of 10kHz pseudo-random sequence p c (t) multiplied, the output signal y 1 The time-frequency waveform of (t) is as follows Figure 4 (1) shown. As a comparison, the harmonic signal x(t) without continuous Hanning window is sent to RD-AIC, and it is compared with the pseudo-random sequence p with frequency of 10kHz c (t) multiplied, the time-frequency waveform of the output signal y(t) is as follows Figure 4 As shown in (2); secondly, the y 1 (t) and y(t) are sent to the low-pass filter respectively, and the output signal y' 1 (t) and y’(t), the time-frequency waveforms are as follows Figure 5 (1), (2); finally y' 1 (t) and y’(t) are respectively sent to the low-speed ADC, and the output observation signal y 1 (m) and y(m), the time-frequency waveforms are as follows Figure 6 (1) an...

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Abstract

A grid harmonic asynchronous compressed sensing detection method with continuous Hanning window, the steps are as follows: derive and define the continuous Hanning window signal function; analyze the power grid harmonic signal with continuous Hanning window in continuous Fourier transform and generalized Fourier transform Orthogonal decomposition model under the series, and thus proposed the finite term orthogonal decomposition sum of continuous signal under discrete Fourier transform K ‑Sparse reference model; deduce the input and output observation model of the power grid harmonic signal with continuous Hanning window under the stochastic analog information converter; revise the formula for restoring the reconstructed signal to the original power grid harmonic signal. This method can effectively reduce the generation frequency of the pseudo-random sequence in the random analog information converter and the spectrum leakage problem caused by the asynchronous sampling frequency of the low-speed ADC and the fundamental frequency of the power grid, and then improve the efficiency of the signal reconstruction algorithm and the amplitude of each harmonic component detection accuracy.

Description

technical field [0001] The invention belongs to the technical field of harmonic detection, relates to asynchronous sampling detection of electric network harmonics, and in particular to a method for detecting electric network harmonic asynchronous compressed sensing with continuous Hanning windows. Background technique [0002] Accurate detection of harmonic signals is the basis and premise of controlling harmonic pollution in power grids. As a new signal processing method, Compressed Sensing (CS) theory breaks through the limitations of Nyquist sampling theorem, and provides a new idea for the detection of power grid harmonic signals. If the signal to be detected is K-sparse under a certain basis function, the detection method using this theory has the advantages of asynchronous observation and reconstruction with high compression ratio. [0003] Analog-to-information converter (AIC) is a cutting-edge technology that extends CS theory to analog signals. There are currentl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R23/165
Inventor 刘嫣汤伟刘宝泉
Owner 陕西星见动能电气科技有限公司
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