Parameter Identification Method of Oil-paper Insulation Equivalent Circuit Based on Improved Prony Algorithm

Abstract

The present invention relates to a parameter identification method of oil-paper insulation Debye circuit based on self-adaptive sampling interval Prony algorithm. The method improves the traditional Prony algorithm according to the physical characteristics of the Debye equivalent model depolarization current exponential function superposition. The sampling interval can accurately solve the time constant range, realize the adaptive selection of the sampling interval, and use the adaptive sampling interval to perform Prony fitting on the relaxation sub-spectral line of the corresponding time constant; after obtaining the sub-spectral line parameters, substitute it into Debye et al. The equivalent circuit parameter identification formula is used to realize the identification of equivalent circuit parameters. The inventive method avoids the subjectivity of artificial point selection and sampling interval selection, plays a filtering role on the measured depolarization current with noise interference, and accurately and uniquely realizes the identification of the Debye equivalent circuit parameters of the oil-paper transformer.

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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