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Electric power system low-frequency oscillation mode identification method based on Matrix Pencil

A low-frequency oscillation and power system technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as noise sensitivity, algorithm leakage identification, and low resolution of multi-frequency component signals

Inactive Publication Date: 2014-10-01
FUZHOU UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

The traditional Prony algorithm uses a complex exponential function to forcibly fit the signal to obtain the modal information, which will generate a large number of false modes and is sensitive to noise; the modal recognition based on HHT transform can extract the instantaneous modal information of the signal, but The required algorithm may miss identification
It is important to use wavelet decomposition to process time-varying oscillatory signals, but there is a problem of low resolution when extracting multi-frequency component signals

Method used

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  • Electric power system low-frequency oscillation mode identification method based on Matrix Pencil
  • Electric power system low-frequency oscillation mode identification method based on Matrix Pencil
  • Electric power system low-frequency oscillation mode identification method based on Matrix Pencil

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Embodiment Construction

[0048] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0049] See figure 1 , figure 1 Is the working flow diagram of the embodiment of the present invention.

[0050] Step 1: Set the ideal sampling data as x(n), n=0,1,...,N-1, estimate with the exponential model of M order, as follows:

[0051] x ( n ) = Σ k = 1 M b k z k n - 1

[0052] In the formula, z k It is a parameter including the oscillation frequency and attenuation factor information of the oscillation mode k, and its specific expression can be expressed as follows:

[0053] z k = ...

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Abstract

The invention relates to the field of identification of electric power system low-frequency oscillation modes, and in particular relates to an electric power system low-frequency oscillation mode identification method based on Matrix Pencil. Aiming at solving the problem that measured data obtained by ac actual system is usually influenced by site environment and other factors and thereby is signal data with a certain signal to noise ratio, the method proposes to utilize ESPRIT to improve the Matrix Pencil algorithm, decompose a signal space into a signal sub-space and a noise sub-space by directly adopting a data matrix composed of measured data as a basis, accurately estimate a model order, and detect oscillation frequencies, decay factors, oscillation amplitudes, phases and other information of the low-frequency oscillation signals of an electric power system in different oscillation modes, and thereby computational efficiency and low-frequency oscillation identification capability can be effectively improved. The method is applicable to the electrical power systems and other relevant departments for identifying low-frequency oscillation modes of the electrical power systems.

Description

technical field [0001] The invention relates to the field of low-frequency oscillation mode identification of a power system, in particular to a method for identifying a low-frequency oscillation mode of a power system based on a Matrix Pencil. Background technique [0002] The stable operation of power system is the fundamental problem of power system. With the networking construction of my country's power grid, while solving the imbalance between my country's energy distribution areas and power demand areas, some factors such as long distances and weak electrical connections cause low-frequency oscillations in the power system to occur from time to time. The low-frequency oscillation of the power system has become more and more a major hazard that seriously endangers the safe and stable operation of the power grid after natural disasters and electrical equipment failures. Therefore, it is necessary to deeply study the low-frequency oscillation problem in the power system ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 金涛顾小兴黄宴委程远
Owner FUZHOU UNIV
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