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Least square fitting dynamic frequency measurement method

A technology of least squares and dynamic frequency, applied in measurement devices, measurement of electrical variables, spectrum analysis, etc., can solve problems such as lack of support for dynamic frequency measurement, and achieve the effect of real-time measurement and enhanced monitoring

Active Publication Date: 2017-10-20
SOUTHEAST UNIV
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Problems solved by technology

However, the above algorithm only has a good effect on the measurement of stable frequencies, but lacks support for the measurement of dynamic frequencies

Method used

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  • Least square fitting dynamic frequency measurement method
  • Least square fitting dynamic frequency measurement method
  • Least square fitting dynamic frequency measurement method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 As shown, the steps of this embodiment are as follows:

[0051] 1. Set the data window time T=0.02s and the sampling frequency fs=1600Hz to sample the grid signal. Each data window has 24 sampling points, and the initial sampling time is set to zero.

[0052] 2. Use the FIR digital filter to process the signal of the data window to obtain a relatively pure fundamental wave signal and form a signal matrix [X].

[0053] 3. The binary function Taylor series is used to extract the frequency deviation and frequency variation deviation from the discrete signal to be measured, and the binary function Taylor expansion is performed on the sampling points in the data window. The expansion formula of a single sampling point is:

[0054]

[0055] In the formula, n is the serial number of the sampling point, f 0 is the estimated frequency. Simultaneously combine the expansion formulas of all sampling points in the data window to construct the measurement s...

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Abstract

The invention discloses a least square fitting dynamic frequency measurement method. The method comprises steps that A / D conversion sampling of power grid continuous signals is carried out to form equal time interval discrete signals; an FIR digital filter is employed to extract relatively pure fundamental wave discrete signals, and a sampling matrix is formed; a binary function Taylor expansion is utilized, frequency deviation and frequency change deviation of the power grid signals are extracted, and a constant coefficient matrix is calculated in an offline mode; the least square method is utilized to solve an unknown parameter matrix containing frequency deviation and frequency change deviation; dynamic frequency of each sampling point in the data window is solved. The method is advantaged in that based on the multivariate Taylor series, a power grid signal measurement matrix equation is established, the least square method is utilized to solve an equation linearity fitting problem, on the condition that frequency tracking is realized, a frequency change rate can be further monitored, and high accuracy, good timeliness and strong interference immunity are realized.

Description

technical field [0001] The invention belongs to the dynamic frequency measurement technology of an electric power system, and in particular relates to a least square fitting dynamic frequency measurement method. Background technique [0002] Frequency is one of the important parameters of power quality, which can reflect the change of the instantaneous operating state of the power system. From the overall evaluation of the power supply network, the frequency is an indicator of the active power balance state of the power grid. Measuring frequency helps to monitor the whole process of electric energy generation, transmission, distribution and use in the power system. From the perspective of power quality, frequency is one of the important criteria to measure power quality. High or low frequency will affect the operating efficiency of the equipment, and even cause irreversible damage to the equipment. Taking the safe and stable operation of the power system as the starting p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/00G06F17/18G06F17/11
CPCG01R23/00G06F17/11G06F17/18
Inventor 徐青山田笑刘梦佳刘瑜俊
Owner SOUTHEAST UNIV
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