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PRCE-based low-frequency oscillation mode on-line identification method

An identification method and low-frequency oscillation technology, which can be applied to measuring devices, instruments, measuring electricity, etc., can solve the problems of poor noise resistance, low identification accuracy, slow calculation speed, etc. Effect

Active Publication Date: 2017-03-29
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the stochastic subspace method (Stochastic Subspace Identification) SSI is also applied to the electromechanical oscillation pattern recognition of power systems. This method is based on multi-channel signals, can identify oscillation modes, and has strong noise immunity. Singular value decomposition is performed on large matrices with relatively small dimensions, so its calculation speed is slow and it is prone to spurious patterns
[0005] It can be seen that the existing identification methods cannot calculate the oscillation mode, and the identification accuracy is low, the noise immunity is poor, and the calculation speed is slow

Method used

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  • PRCE-based low-frequency oscillation mode on-line identification method
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  • PRCE-based low-frequency oscillation mode on-line identification method

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Embodiment

[0058] In the embodiment, a method for identifying low-frequency oscillation modes of power systems based on the PRCE method is provided, see figure 1 , including the following steps:

[0059] Step 1: Read the power angle or angular velocity free oscillation signal x of m generators after a power system disturbance

[0060] x=[x(1),x(2),...,x(r)]

[0061] Wherein, x(i) represents the i-th measurement data of m generators, i=1,2,...,r, r is the length of the free oscillation signal taken.

[0062] Step 2: Construct the extended Hankel matrix H using the free oscillation signal;

[0063] Use the data in the free-oscillating signal x described in step 1 to construct the extended Hankel matrix H

[0064]

[0065] Among them, x(i) represents the i-th measurement data of m generators, i=1,2,...,r, r is the length of the free oscillation signal taken, p e is the order of the signal model;

[0066] Step 3: Calculate the order p of the signal model by using the singular value dec...

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Abstract

The invention discloses a PRCE-based low-frequency oscillation mode on-line identification method and belongs to the power system low-frequency oscillation field. The method includes the following steps that: the angular velocity measurement signals of a plurality of generators after the disturbance of a section of a power system are read; a Hankel matrix is constructed through free oscillation signals, and a column vector is solved by using the least squares method; and a matrix polynomial is constructed so as to solve an eigenvalue matrix and a right eigenvector matrix, and therefore, the oscillation frequency, damping ratio and oscillation mode of the system can be obtained. The method of the invention, based on multi-channel signals, can identify oscillation modes and can obtain more stable identification results. Compared with a TLS-ESPRIT method and an SSI (stochastic subspace identification) method, the method of the invention is advantageous in more stable identification results, higher identification accuracy and higher identification efficiency.

Description

technical field [0001] The invention relates to the field of low-frequency oscillations in electric power systems, in particular to a method for online identification of low-frequency oscillation modes based on PRCE. Background technique [0002] Low-frequency oscillation is an important issue in the stable operation of power systems. Rapid and accurate identification of low-frequency oscillation modes is of great significance to the analysis and control of low-frequency oscillations in power grids. Traditional analysis methods need to establish a detailed mathematical model for the system. For large-scale and complex interconnected grids, there are certain difficulties in accurate modeling. The massive installation of PMU (synchronized phasor measurement unit) in the power system makes it possible to analyze low frequency oscillation based on wide-area measurement data. Since the measured data truly reflects the current operating state of the system, the measurement-based ...

Claims

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Application Information

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IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 王晓茹谢剑
Owner SOUTHWEST JIAOTONG UNIV
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