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
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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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