Base wave and harmonic detection method based on fiver item Rife-Vincent(1)window double spectral line interpolation FFT

A bispectral line interpolation and harmonic technology, applied in the field of signal processing, can solve problems such as spectrum leakage, fundamental wave and harmonic measurement and analysis are difficult to achieve

Inactive Publication Date: 2008-09-10
HUNAN UNIV
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Problems solved by technology

The shortcomings of the existing technology are: the existing technology provides some electrical equipment design methods for fundamental wave and harmonic measurement, but due to the characteristics of diversity, randomness and p

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  • Base wave and harmonic detection method based on fiver item Rife-Vincent(1)window double spectral line interpolation FFT
  • Base wave and harmonic detection method based on fiver item Rife-Vincent(1)window double spectral line interpolation FFT
  • Base wave and harmonic detection method based on fiver item Rife-Vincent(1)window double spectral line interpolation FFT

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Embodiment Construction

[0051] The invention proposes a fundamental wave and harmonic wave detection method based on five Rife-Vincent (I) windows. The following will be described in detail in conjunction with the accompanying drawings, but not as a limitation of the present invention.

[0052] This embodiment is a harmonic parameter detection part of a three-phase multifunctional harmonic electric energy meter that can be used to measure harmonic electric energy in a power system.

[0053] Set the highest number of harmonic detection in this embodiment to 21 times, the analog-to-digital converter adopts 71M6513H produced by TDK Company, and the DSP adopts the BF533 processor produced by ADI Company, and the main parameters are selected as follows:

[0054] (1) Sampling rate: f s = 2520Hz;

[0055] (2) Power grid fundamental frequency: fluctuates around 50Hz;

[0056] (3) FFT operation data length: N=512.

[0057] The processing flow diagram of this embodiment is as follows figure 1 As shown, t...

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Abstract

The invention discloses a fundamental wave and harmonic wave detecting method based on five Rife-Vincent (I) windows doublet interpolation FFT (fast Fourier transform): detected signals are processed with analog-to-digital conversion and low-pass filtering, the five Rife-Vincent (I) windows which adopt a low sidelobe level and a rapid decay rate of the sidelobe carry out window-adding FFT operation on the detected signals, and the doublet interpolation calculating method is used for detecting the quantity of the fundamental wave and each harmonic wave of the detected signals. The fundamental wave and harmonic wave detecting method includes the following aspects: (1) analog-to-digital conversion and digital low-pass filtering; (2) FFT calculation based on the five Rife-Vincent (I) windows; (3) the doublet interpolation and the fitting of polynomial to obtain the parameter of the fundamental wave and the harmonic wave.

Description

Technical field [0001] The invention relates to a method for detecting fundamental wave and harmonic parameters in signals. Specifically, it is a fundamental wave and harmonic parameter detection method based on 5-item Rife-Vincent (I) window bispectral interpolation FFT (Fast Fourier Transform), which belongs to the technical field of signal processing and can also be used for spectrum analysis of other signals. Background technique [0002] Taking power signal detection as an example, with the development of power electronics technology, non-linear devices are widely used in power systems, and the harmonic problems brought by non-linear devices pose an increasingly serious threat to the safety, stability and economic operation of power systems. Accurate measurement of fundamental and harmonics can provide scientific basis for power grid energy metering, harmonic power flow calculation, equipment network detection, power system harmonic compensation and suppression, etc. ...

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Application Information

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IPC IPC(8): G01R23/00G01R23/16
Inventor 滕召胜曾博温和高云鹏卿柏元刘鹏杨步明王一王璟珣周良璋吴双双毛群辉张红瑛
Owner HUNAN UNIV
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