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A method for determining the identifiability of generator excitation system parameters

A technology of excitation system and determination method, which is applied in the field of power system parameter identification, can solve the problems that time domain sensitivity cannot completely distinguish important parameters from secondary parameters, does not consider the nonlinear link of excitation system, and exceeds the application range of frequency domain sensitivity analysis, etc. , to achieve the effect of improving safe and stable operation level, high engineering practical value, and improving frequency domain sensitivity

Active Publication Date: 2017-04-12
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, considering that time-domain sensitivity cannot fully distinguish important parameters from secondary parameters, frequency-domain sensitivity should be used as the main indicator to measure the difficulty of parameter identification
Research on the identifiability of excitation system parameters, Ju Ping. Frequency domain sensitivity and its application in power system parameter identification [J]. Chinese Journal of Electrical Engineering, 2010, 30(28): 19-24. Proposed the excitation system Converted to a linearized standard system, the frequency domain method is used to identify the parameters of the generator excitation system, but this method does not consider the influence of the nonlinear link of the excitation system
Due to the relatively complex structure of the generator excitation system, there are many parameters that need to be identified, and there are correlations among them. At the same time, due to the existence of nonlinear factors such as saturation and clipping, it exceeds the application range of frequency domain sensitivity analysis. The nonlinear system parameters The frequency domain sensitivity analysis of the

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  • A method for determining the identifiability of generator excitation system parameters
  • A method for determining the identifiability of generator excitation system parameters
  • A method for determining the identifiability of generator excitation system parameters

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Embodiment 1

[0032] The invention provides a method for judging the identifiability of generator excitation system parameters. The method realizes the judgment of relevant parameters by constructing a parameter time-domain sensitivity matrix, divides the parameters to be identified into a good-state parameter set and an ill-condition parameter set, and takes the ill-condition The parameter set with the smallest sum of quasi-frequency domain sensitivities is used as the representative of the assignment, and its corresponding well-state parameter set is used for parameter identification.

[0033] Such as figure 1Shown, the inventive method comprises the following steps:

[0034] (1) Determine the type of excitation system model;

[0035] (2) According to the type of the excitation system model, calculate the time-domain sensitivity matrix and pseudo-frequency domain sensitivity values ​​of the parameters to be identified;

[0036] (3) Calculate the rank of the time-domain sensitivity matri...

Embodiment 2

[0051] (1) Taking the IEEEEST2A excitation system as an example, this type of excitation system belongs to the self-compounding static excitation system. The power supply is formed by the phasor synthesis of the generator terminal voltage and the armature current. Its model diagram is as follows image 3 As shown, the model parameters are shown in Table 1.

[0052] Considering the no-load operation of the generator, the armature current I T When it is 0, the parameter K cannot be I Therefore, in the process of parameter identification, the excitation coefficient K E =1, this value does not participate in the identification of system parameters.

[0053] Table 1 IEEEEST2A excitation system model parameters

[0054]

[0055] (2) Form the parameter time-domain sensitivity matrix of the model.

[0056] (3) The rank R=4 of the matrix is ​​obtained, which indicates that the maximum number of identifiable parameters of the model is 4.

[0057] (4) Obtain all well-conditioned ...

Embodiment 3

[0079] Taking the IEEEDC1A type excitation system as an example, the parameter identifiability judgment is carried out according to the present invention, and the well-state parameter set is K A 、K F , T A , T F , the ill-conditioned parameter set is T B , T C , T E . Randomly select the well-conditioned parameter set as K A 、K F , T E , T F , the ill-conditioned parameter set is T B , T C , T A . The following three assignment situations are respectively set to identify the parameters of the IEEEDC1A excitation system.

[0080] Case 1: The associative parameter represents a true value

[0081] Case 2: Relevance parameter represents 5% deviation from true value

[0082] Case 3: Relevance parameter represents 10% deviation from true value

[0083]For the three assignment situations of the two parameter sets, 20 identifications were carried out respectively. Comparing the identification results, it can be seen that the identification accuracy of most parameters i...

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Abstract

The invention discloses a parameter identifiability judgment method for a generator excitation system and relates to judgment of parameter identifiability of the generator excitation system. The parameter identifiability judgment method includes steps of judging relevance parameters by setting up a parameter time domain flexibility matrix, classifying the parameters to be identified into a well-conditioned parameter set and a bad-conditioned parameter set, taking the smallest value of the sum of simulated-frequency-domain flexibility in the bad-conditioned parameter set as a valuation representative, valuing the valuation representative with an empirical value and identifying parameters of the corresponding well-conditioned parameter set. The parameter identifiability judgment method has the advantages that accuracy and stability of parameter judgment results of the generator excitation system are improved, safe and stable operation of the power system is benefited, and the parameter identifiability judgment method has higher engineering practice value.

Description

technical field [0001] The invention relates to electric system parameter identification, and more particularly relates to a generator excitation system parameter identifiability determination method. Background technique [0002] The accuracy of the model structure and parameters of the generator excitation system is the basis for power system simulation calculation and analysis. A lot of work has been done on the modeling of the generator excitation system at home and abroad. International organizations such as IEEE have established IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEEStandard421.5-2005. and China Electric Power Research Institute formed by the Excitation System Mathematical Model Expert Group. Calculating the Excitation System Mathematical Model for Power System Stability [J]. Chinese Journal of Electrical Engineering, 1991, 19(5): 65-71. For A variety of standardized model structures have been proposed for the ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06F19/00
Inventor 彭昌勇杜治马蕊徐敬友文劲宇杨东俊
Owner STATE GRID CORP OF CHINA