New energy power system low-frequency oscillation parameter identification method

A power system, low-frequency oscillation technology, applied in electrical components, circuit devices, harmonic reduction devices, etc., can solve the problem of inability to accurately identify nonlinear low-frequency oscillation parameters, and improve the ability to process nonlinear oscillation signals. High precision and accurate results

Active Publication Date: 2019-04-12
STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST +1
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a new energy power system low-frequency oscillation parameter identification method to solve the technical problem that the new energy power system cannot accurately identify nonlinear low-frequency oscillation parameters in a disturbed environment

Method used

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  • New energy power system low-frequency oscillation parameter identification method
  • New energy power system low-frequency oscillation parameter identification method
  • New energy power system low-frequency oscillation parameter identification method

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specific example

[0104] In order to verify the effectiveness of this method, an oscillating signal can be given as:

[0105] y=0.9e -0.3t cos(2π×0.5t)+0.5e -0.8t cos(2π×1.6t+π / 3) (15)

[0106] where y is the output signal and t is the sampling time.

[0107] The frequency of this signal conforms to the frequency range of the low-frequency oscillation, and has different attenuation factors, which can better simulate the main characteristics of the low-frequency oscillation signal, so it can be used as an analog signal.

[0108]Parameters of the product function PF of the signals extracted for validation of the LMD method. In the process of extracting the PF component, the sampling interval is 0.001s, and the sampling points are 1000. Then use the method in this paper to process the oscillation signal. In order to illustrate the effectiveness of the method in this paper, the algorithm combining LMD and TLS-ESPRIT is used to identify the oscillation signal, and the finally identified paramet...

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Abstract

The invention discloses a new energy power system low-frequency oscillation parameter identification method and belongs to the technical field of electric power system oscillation parameter identification. The invention provides the new energy power system low-frequency oscillation parameter identification method which combines local mean decomposition (LMD) and signal parameter estimation (TLS-ESPRIT) with an overall least square method rotation invariant technology. According to the method, an LMD is used for extracting a product function PF of a signal, and then a TLS-ESPRIT algorithm is adopted for identifying a PF component of a dominant mode to obtain oscillation parameters of a dominant component of interest, namely the frequency, the damping ratio, the amplitude and the phase position. According to the method, the oscillation signal identification processing accuracy and the nonlinear oscillation signal processing capability can be effectively improved, the identification precision is high, the result is accurate, and the method is suitable for extracting low-frequency oscillation characteristic parameters of the new energy power system.

Description

technical field [0001] The invention belongs to the technical field of electric system oscillation parameter identification, and in particular relates to a method for identifying low-frequency oscillation parameters of a new energy power system. Background technique [0002] At present, with the vigorous development of new energy, the power system has formed an interconnected power system with new energy. New energy has been paid more and more attention due to its advantages of cleanness and environmental protection. Safety and stability are important conditions to ensure the stable operation of the power system, and the problem of low-frequency oscillation in the power system is an urgent problem to be solved in the development of modern power grids. At present, there is a certain degree of randomness in the field of new energy power generation, such as photovoltaic power generation and wind power generation. This randomness will make the low-frequency oscillation problem ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/01
CPCH02J3/00H02J3/01H02J3/002H02J2203/20Y02E40/40
Inventor 徐茂达郝文波
Owner STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST
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