Online identification method of small-disturbance stability parameters based on PMU measurement data

A technology that is stable with little disturbance and measures data. It is applied in the field of online identification, which can solve the problems of system dynamic behavior analysis deviation and inability to track changes in system operating state in real time, and achieve the effect of improving accuracy.

Active Publication Date: 2017-02-22
SHANDONG UNIV
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Problems solved by technology

[0005] When the parameters of the generator are inaccurate, it will cause deviations in the analysis of the dynamic behavior of the system, and it is impossible to track the changes in the operating state of the system in real time, and take corresponding control measures in time

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  • Online identification method of small-disturbance stability parameters based on PMU measurement data
  • Online identification method of small-disturbance stability parameters based on PMU measurement data
  • Online identification method of small-disturbance stability parameters based on PMU measurement data

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Embodiment Construction

[0030] The present invention is described in detail below in conjunction with accompanying drawing:

[0031] An online identification method of small disturbance stable parameters based on PMU measurement data, such as figure 2 shown, including the following steps:

[0032] (1) Assuming that the system includes n generators and m nodes, collect multiple sets of PMU measurement data in continuous periods under small disturbances in the power system;

[0033] (2) According to the machine terminal voltage vector, power factor angle and generator power angle, calculate the potential inside the generator;

[0034] (2) Obtain the small disturbance linearized state matrix of the system under the classic generator model;

[0035] (3) According to the small disturbance linearized state matrix, combined with the power system PMU measurement data, deduce the matrix operation form of the ordinary least squares solution of the parameters to be estimated;

[0036] (4) Use the least squa...

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Abstract

The invention discloses an online identification method of small-disturbance stability parameters based on PMU measurement data. The method includes: according to a linearization state matrix, with the combination of the PMU measurement data (generator angular velocity, power angle and internal potential trend data) of an electric power system, the matrix operation form of the ordinary least squares solution of to-be-estimated parameters (conductance, susceptance, and generator time constant and damping coefficient) is deduced. The beneficial effects of the method are that the current operation state can be accurately reflected through abundant measurement data, and a great help is provided for the improvement of the accuracy of practical parameters of the electric power system.

Description

technical field [0001] The invention relates to an online identification method for small disturbance stability parameters of a power system using PMU measurement data. Background technique [0002] The state matrix of small disturbances is dynamically estimated through the rotation angle and angular velocity of the generator measured by the PMU. This method is suitable for on-line oscillation analysis, on-line stability monitoring and control, and has a wide range of applications. The current traditional small-disturbance stability parameter calculation method is based on the repeated calculation of the nonlinear system model, or the generator parameter values ​​provided by the manufacturer. With the wide application of distributed power, the models and models of some small generators connected to the system The accuracy of the parameters cannot be guaranteed, and the change of the parameters is not known as the operating state of the system changes. [0003] The analysis ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 随慧斌李霞梅杨明
Owner SHANDONG UNIV
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