Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer

The low frequency section of frequency domain spectroscopy (FDS) of oil-paper insu- lation system can effectively reflect the ageing state and moisture of the oil-immersed paper. Meanwhile, steady-state insulation resistance is the one of indexes for the condition of transformer. In actual measureme...

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Main Authors: Yiming Xie, Jiangjun Ruan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9086519/
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spelling doaj-c8c29c234a6847c093fceabbf0f50e472021-03-30T02:50:39ZengIEEEIEEE Access2169-35362020-01-018866518665810.1109/ACCESS.2020.29926819086519Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in TransformerYiming Xie0https://orcid.org/0000-0002-1604-4273Jiangjun Ruan1https://orcid.org/0000-0002-8155-9548School of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaThe low frequency section of frequency domain spectroscopy (FDS) of oil-paper insu- lation system can effectively reflect the ageing state and moisture of the oil-immersed paper. Meanwhile, steady-state insulation resistance is the one of indexes for the condition of transformer. In actual measurement, these two both are time-consuming and poor accessibility, thereby restraining their field applications. Aim at this problem, this paper analyses the polarization process of the oil-paper insulation in transformer, and adopts a low frequency equivalent circuit model for the oil-paper insulation to characterize the polarization process at low frequency. The simulated annealing particle swarm optimization (SAPSO) algorithm is proposed to identify the parameters in equivalent circuit, which are affected by change of insulation state. Compared with the experimental results, the errors of the steady-state insulation resistance and the tan &#x03B4; below 10<sup>-3</sup> Hz, which are calculated by the identified parameters, are less than 2.5%. This method can avoid the influence from external environment and reduce the measurement time. The time and frequency domain parameters calculated can provide reference for the ageing assessment of oil-immersed paper.https://ieeexplore.ieee.org/document/9086519/Oil-paper insulation equivalent circuitinterfacial polarizationsimulated annealing particle swarm optimizationsteady-state insulation resistancefrequency domain spectroscopy
collection DOAJ
language English
format Article
sources DOAJ
author Yiming Xie
Jiangjun Ruan
spellingShingle Yiming Xie
Jiangjun Ruan
Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
IEEE Access
Oil-paper insulation equivalent circuit
interfacial polarization
simulated annealing particle swarm optimization
steady-state insulation resistance
frequency domain spectroscopy
author_facet Yiming Xie
Jiangjun Ruan
author_sort Yiming Xie
title Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
title_short Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
title_full Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
title_fullStr Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
title_full_unstemmed Parameters Identification and Application of Equivalent Circuit at Low Frequency of Oil-Paper Insulation in Transformer
title_sort parameters identification and application of equivalent circuit at low frequency of oil-paper insulation in transformer
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The low frequency section of frequency domain spectroscopy (FDS) of oil-paper insu- lation system can effectively reflect the ageing state and moisture of the oil-immersed paper. Meanwhile, steady-state insulation resistance is the one of indexes for the condition of transformer. In actual measurement, these two both are time-consuming and poor accessibility, thereby restraining their field applications. Aim at this problem, this paper analyses the polarization process of the oil-paper insulation in transformer, and adopts a low frequency equivalent circuit model for the oil-paper insulation to characterize the polarization process at low frequency. The simulated annealing particle swarm optimization (SAPSO) algorithm is proposed to identify the parameters in equivalent circuit, which are affected by change of insulation state. Compared with the experimental results, the errors of the steady-state insulation resistance and the tan &#x03B4; below 10<sup>-3</sup> Hz, which are calculated by the identified parameters, are less than 2.5%. This method can avoid the influence from external environment and reduce the measurement time. The time and frequency domain parameters calculated can provide reference for the ageing assessment of oil-immersed paper.
topic Oil-paper insulation equivalent circuit
interfacial polarization
simulated annealing particle swarm optimization
steady-state insulation resistance
frequency domain spectroscopy
url https://ieeexplore.ieee.org/document/9086519/
work_keys_str_mv AT yimingxie parametersidentificationandapplicationofequivalentcircuitatlowfrequencyofoilpaperinsulationintransformer
AT jiangjunruan parametersidentificationandapplicationofequivalentcircuitatlowfrequencyofoilpaperinsulationintransformer
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