Oil-paper insulation Debye circuit parameter identification method based on adaptive sampling interval Prony algorithm

Abstract

The invention relates to an oil-paper insulation Debye circuit parameter identification method based on an adaptive sampling interval Prony algorithm. The method is characterized by based on the physical characteristics of the depolarization current exponential function superposition under a Debye equivalent model, improving a traditional Prony algorithm, realizing the adaptive selection of the sampling intervals according to a time constant range which can be accurately solved at a certain sampling interval, and carrying out the Prony fitting on the relaxation sub-spectral lines of the corresponding time constants by utilizing the adaptive sampling intervals; and after the sub-spectral line parameters are obtained, substituting the sub-spectral line parameters into a Debye equivalent circuit parameter identification formula to realize the identification of the equivalent circuit parameters. According to the method, the subjectivity of the manual point selection and sampling interval selection is avoided, a filtering effect on the actually measured depolarization current with the noise interference is achieved, and the identification of the Debye equivalent circuit parameters of anoilpaper transformer is accurately and uniquely achieved.

Description

technical field [0001] The invention relates to the technical field of oil-paper insulation medium response modeling and aging assessment, in particular to an oil-paper insulation Debye circuit parameter identification method based on an adaptive sampling interval Prony algorithm. Background technique [0002] The dielectric response method is a non-destructive detection method for diagnosing the state of oil-paper insulation. The dielectric response experiments for oil-paper insulation mainly include planned depolarization current experiments (PDC), recovery voltage experiments (RVM) and frequency domain dielectric response experiments (FDS). ), in recent years, the research on the medium response method has changed from extracting the characteristic quantity directly from the experimental data to modeling the medium relaxation process, so as to deeply understand and study the process and mechanism of the medium response. [0003] The establishment of a mathematical model p...

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Problems solved by technology

[0004] Under the description of the extended Debye model, the depolarization current is in the form of the superposition of exponential function subspectral lines. The key to identify the parameters of each branch of the extended Debye model is to obtain the relaxation coefficient and time constant; and the Prony algorithm is an algorithm for fitting the superposition of exponential functions, but the depolarization current has its particularity. To improve, according to the time constant range that can be accurately solved at a certain sampling interval, realize the adaptive selection of the sampling interval, improve the filtering effect on the measured PDC current with noise interference, and apply it to the parameter identification of the extended Debye model of oil-paper insulation. Main work of the present invention

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