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Random data-based power system small disturbance stability analysis online identification method

A small-disturbance stable, power system technology, applied in the direction of circuit devices, AC network circuits, reducing/preventing power oscillation, etc., can solve problems such as disaster of dimensionality, achieve strong adaptability, improve computing efficiency, and enhance practical application value Effect

Inactive Publication Date: 2019-03-22
NORTHEAST DIANLI UNIVERSITY +1
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Problems solved by technology

However, the traditional eigenvalue analysis method is only suitable for offline analysis, and as the scale of the power grid expands, it is limited by the "curse of dimensionality"

Method used

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  • Random data-based power system small disturbance stability analysis online identification method
  • Random data-based power system small disturbance stability analysis online identification method
  • Random data-based power system small disturbance stability analysis online identification method

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Embodiment Construction

[0054] On-line identification method for power system small disturbance stability analysis based on random data, such as figure 1 shown, including the following steps:

[0055] Step 1. Driven by random data, the output power spectral density matrix of the high-order nonlinear power system small disturbance state-space model is

[0056]

[0057]

[0058] Among them: x(n) is the output response data driven by the random data of the power system, generally the active power is used as the output, n=0, 1, 2,..., N-1, N is the total number of data, π is the pi, ω is the angular frequency, is the Fourier transform form of the output data, E is the estimated mean value, and W(ω) is the frequency domain form of the window function ω(n) used for data truncation;

[0059] Step 2. Perform singular value decomposition (SVD) on the output power spectral density matrix PSD

[0060] In a multiple-input multiple-output power system, the PSD matrix S of its output response yy ∈C m×m...

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Abstract

The invention relates to a random data-based power system small disturbance stability analysis online identification method and belongs to the technical field of power system operation and maintenance. The method includes the following steps that: step 1, the output power spectral density matrix of a power system small interference state space model is established; step 2, singular value decomposition is performed on the output power spectral density matrix; step 3, automatic peak identification is performed; and step 4, system modal parameter identification is performed. According to the random data-based power system small disturbance stability analysis online identification method of the invention, with active power adopted as output, singular value decomposition is performed on power spectral density, an automatic peak selection method is adopted to obtain related modal parameters such as frequency and damping, and therefore, accuracy loss caused by the introduction of MAC criteriaand the least squares method to an FDD method can be avoided, the calculation efficiency of FDD modal parameters is greatly improved, and the problem that single channel signals cannot correctly identify a plurality of oscillation modes can be solved; and wide-area measurement information is utilized to identify modal parameters online, and the influence of dimension disasters can be avoided. Themethod has the advantages of simple calculation, high adaptability, and high practical application value.

Description

technical field [0001] The invention belongs to the technical field of power system operation and maintenance, and in particular relates to identification of low-frequency oscillation parameters in a power system, stability analysis and dynamic trend analysis. Background technique [0002] In the actual operation of the power system, load fluctuations and the randomness of active power output of new energy sources will bring random disturbances to the system. The instability that may occur after a small disturbance in the power system may usually be: due to the lack of synchronous torque, the rotor angle of the generator gradually increases, which eventually leads to out of step; due to insufficient damping of the system, the rotor increases in oscillation. At present, there are occasional low-frequency oscillation problems in my country's power grid. In fact, small disturbances are unavoidable during the operation of power systems. Therefore, the stability analysis of smal...

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Application Information

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IPC IPC(8): H02J3/24
CPCH02J3/24H02J2203/20
Inventor 杨德友王博蔡国伟孙正龙王丽馨李德鑫李同
Owner NORTHEAST DIANLI UNIVERSITY
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