Expansion Debye model parameter identification method based on dynamic mode decomposition

The dynamic modal decomposition method screens the modalities that meet exponential attenuation, and solves the problems of noise sensitivity and unclear physical significance of the parameter identification results of the expansion of Debai model in the prior art, and achieves rapid and accurate parameter identification and insulation state evaluation.

CN119940244AActive Publication Date: 2025-05-06DONGFANG ELECTRIC MACHINERY
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Patent Information

Application Number
CN202510003382.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-02
Publication Date
2025-05-06
Estimated Expiration
2045-01-02

AI Technical Summary

Technical Problem

The prior art is susceptible to noise when using the extension Debai model for insulation state evaluation, and the physical significance of the parameter identification results is not clear enough, making it difficult to quickly and accurately obtain the circuit parameters of the model.

Method used

Using a method based on dynamic modal decomposition, by constructing DMD modes representing different frequency components, modals that meet exponential attenuation are screened from all modes to obtain the branch number, time constant and relaxation intensity coefficient of the extended Debai model.

Benefits of technology

It improves the robustness to noise, avoids the local optimal solution problem, and the obtained parameter identification results are clear in physical significance, which is suitable for rapid identification of the extended branch parameters of the Debai model on-site.

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Abstract

The invention relates to the technical field of insulation dielectric response characteristic identification and aging state evaluation of capacitive power equipment, in particular to an extended Debye model parameter identification method based on dynamic modal decomposition, which comprises the following steps of: acquiring time-varying data of depolarization current, constructing the time-varying data into a Hankel matrix, and taking front N columns and rear N columns to form a matrix A and a matrix B; carrying out economic SVD decomposition on the matrix A, setting a singular value threshold value, abandoning singular values smaller than the singular value threshold value, and reconstructing an SVD decomposition matrix; solving X = A-1B, and then solving a characteristic value and a characteristic vector of X; solving modals of the X and sorting the X according to an energy decreasing sequence; the modes are screened, the screened modes are selected to restore the depolarization current, the effect of dynamic mode decomposition is judged, and whether the singular value threshold value is adjusted or not is judged according to the restoration effect; and calculating the number of branches, a time constant and a relaxation intensity coefficient of the insulation expansion Debye model. The parameter identification result obtained through the method is clear in physical significance.
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