Transformer winding condition detection based on the nonlinear characteristics of vibrations

Power transformers are critical devices in power grid systems, with windings as their core components. To perform state detection on online windings, this paper establishes a nonlinear model between vibration amplitude and current based on the relationship between winding structural parameters and l...

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Main Authors: QIAN Guochao, HU Jin, DAI Weiju, WANG Haozhou, ZHAO Hanwu, HONG Kaixing
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-11-01
Series:电力工程技术
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Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/240105022
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author QIAN Guochao
HU Jin
DAI Weiju
WANG Haozhou
ZHAO Hanwu
HONG Kaixing
author_facet QIAN Guochao
HU Jin
DAI Weiju
WANG Haozhou
ZHAO Hanwu
HONG Kaixing
author_sort QIAN Guochao
collection DOAJ
description Power transformers are critical devices in power grid systems, with windings as their core components. To perform state detection on online windings, this paper establishes a nonlinear model between vibration amplitude and current based on the relationship between winding structural parameters and load variations. The numerical relationship between structural stiffness and model parameters is proved, and a winding clamping force evaluation method based on the nonlinear characteristics of vibrations is proposed. In the experiment, the relationship between current and vibration amplitude is obtained by adjusting the axial clamping force of windings and performing short-circuit load tests. The experimental results show that the nonlinear characteristics of vibrations are significant when the winding clamping force is small, and the characteristic parameter C3 accurately reflects the equivalent stiffness change of the winding structure. In practical applications, the vibration characteristics of oil tank surface corresponding to normal windings and loose windings are compared, and the results are presented in the form of two-dimensional contour plot. The results indicate that the vibration characteristics of the tank reflect the structural state of the winding near the measurement point. The above results demonstrate that the parameter C3 is a monotonic function of clamping force, and there is structural degradation in the winding when this value is greater than 0.5.
format Article
id doaj-art-d2c6c0a36eb149f58340f7d8308bfe2e
institution Kabale University
issn 2096-3203
language zho
publishDate 2024-11-01
publisher Editorial Department of Electric Power Engineering Technology
record_format Article
series 电力工程技术
spelling doaj-art-d2c6c0a36eb149f58340f7d8308bfe2e2024-12-04T09:14:50ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-11-0143619420210.12158/j.2096-3203.2024.06.019240105022Transformer winding condition detection based on the nonlinear characteristics of vibrationsQIAN Guochao0HU Jin1DAI Weiju2WANG Haozhou3ZHAO Hanwu4HONG Kaixing5Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaElectric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaElectric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaKunming Power Supply Bureau of Yunnan Power Grid Co., Ltd., Kunming 650299, ChinaElectric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaPower transformers are critical devices in power grid systems, with windings as their core components. To perform state detection on online windings, this paper establishes a nonlinear model between vibration amplitude and current based on the relationship between winding structural parameters and load variations. The numerical relationship between structural stiffness and model parameters is proved, and a winding clamping force evaluation method based on the nonlinear characteristics of vibrations is proposed. In the experiment, the relationship between current and vibration amplitude is obtained by adjusting the axial clamping force of windings and performing short-circuit load tests. The experimental results show that the nonlinear characteristics of vibrations are significant when the winding clamping force is small, and the characteristic parameter C3 accurately reflects the equivalent stiffness change of the winding structure. In practical applications, the vibration characteristics of oil tank surface corresponding to normal windings and loose windings are compared, and the results are presented in the form of two-dimensional contour plot. The results indicate that the vibration characteristics of the tank reflect the structural state of the winding near the measurement point. The above results demonstrate that the parameter C3 is a monotonic function of clamping force, and there is structural degradation in the winding when this value is greater than 0.5.https://www.epet-info.com/dlgcjsen/article/abstract/240105022transformer windingfault diagnosiselectric-vibration modelnonlinear characteristicsclamping force statevibration image
spellingShingle QIAN Guochao
HU Jin
DAI Weiju
WANG Haozhou
ZHAO Hanwu
HONG Kaixing
Transformer winding condition detection based on the nonlinear characteristics of vibrations
电力工程技术
transformer winding
fault diagnosis
electric-vibration model
nonlinear characteristics
clamping force state
vibration image
title Transformer winding condition detection based on the nonlinear characteristics of vibrations
title_full Transformer winding condition detection based on the nonlinear characteristics of vibrations
title_fullStr Transformer winding condition detection based on the nonlinear characteristics of vibrations
title_full_unstemmed Transformer winding condition detection based on the nonlinear characteristics of vibrations
title_short Transformer winding condition detection based on the nonlinear characteristics of vibrations
title_sort transformer winding condition detection based on the nonlinear characteristics of vibrations
topic transformer winding
fault diagnosis
electric-vibration model
nonlinear characteristics
clamping force state
vibration image
url https://www.epet-info.com/dlgcjsen/article/abstract/240105022
work_keys_str_mv AT qianguochao transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations
AT hujin transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations
AT daiweiju transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations
AT wanghaozhou transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations
AT zhaohanwu transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations
AT hongkaixing transformerwindingconditiondetectionbasedonthenonlinearcharacteristicsofvibrations