Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

Du, Xuhao; Pan, Jie; Guzzomi, Andrew

doi:10.3390/electronics7120390

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…The magnetic flux density in the air gap of the transformer was simulated by using FEM [15][16][17][18] for different values of l g . The finite element software provided the ability to calculate the time dependent current in the coils for periods of 0.1 s to 0.2 s stepped by 0.5 ms.…”

Section: Fem Simulationmentioning

confidence: 99%

Distributed Magnetic Flux Density on the Cross-Section of a Transformer Core

Pan

et al. 2019

Electronics

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In this paper, the magnetic flux density distribution on the cross-sections of a transformer core is studied. The core for this study consists of two identical U-shaped cores joint at their open surfaces with known air gaps. The magnetic flux density at one of their joint boundary surfaces was measured for different air gaps. A finite element model (FEM) was built to simulate the magnetic flux density and compared with experiment data. Using the validated FEM, the distributed magnetic flux density on the cross-section of the core structure can be obtained when the air gap approaches zero. An engineering model of the density based on the Ampere’s circuit law was also developed and used to explain the relationship between air gap and mean magnetic flux density on the cross-section. The magnetic flux density on the cross-section was found to have a convex-shaped distribution and could be described by an empirical formula. Using this approach, the magnetic flux density distribution in cores with different interlayer insulation was obtained and discussed. This method could also examine the leakage of magnetic flux density in the air gap region when the distance is non-zero, and the relationship between the leakage field and the field in the core structure. The proposed method and model can provide a more detailed understanding for the magnetic field of transformer cores and potential application in designing quiet transformers and condition monitoring.

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Section: Fem Simulationmentioning

confidence: 99%

Distributed Magnetic Flux Density on the Cross-Section of a Transformer Core

Pan

et al. 2019

Electronics

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“…The life of the transmission transformer depends on working conditions. If the transformer regularly works in overloaded conditions, it will lead to rapid damage, causing significant economic damage [1,2].…”

Section: Introductionmentioning

confidence: 99%

Transformer vibration and noise monitoring system using internet of things

et al. 2023

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During continuous operation, transformer problems can occur due to various reasons. In reality, the operating parameters of the transformer have been collected and monitored through the supervisory control and data acquisition (SCADA) systems. However, these systems face many challenges when applied to no-human substations. Currently, noise signals have been used to detect transformer errors. Abnormal noise recognition and vibration monitoring can recognize the transformer's potential defects and errors. In this study, the authors built an internet of things (IoT) system that allows remote control centres to monitor the condition of transformers through noise and vibration at non-human substations. The proposed model was equipped with a wireless sensor network node consisting of vibration sensors, audio collectors, Arduino modules, and Lora modules. The authors set up two schemes for the IoT network: one sensor node for a 220-kV transformer and three sensor nodes for all three phases of the 500-kV transformer. The data obtained from the sensor node were sent to LoRa Gateway and displayed on the computer through LabVIEW. The study also enabled monitoring of parameters through IoT devices such as Desktops, Laptops, Smartphones from LabVIEW NXG Web VI platform, ThingSpeak, and Amazon S3 storage cloud. In addition, a Model Predictive Control (MPC) algorithm was applied to predict the deterioration of transformer health to maintain the system stability and, hence, prolong the transformer life and operability.

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“…As crucial equipments of power transmission systems, failures of power transformers will lead to severe accidents and considerable economic losses [1,2]. Winding is one of the most important and vulnerable internal components of power transformers, and encounters with various kinds of faults and defects, such as deformation, shift and clamping force looseness.…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on Power Transformer Vibration Distribution under Different Winding Defect Conditions

Zheng

Huang

2019

Electronics

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Vibration analysis is one of the important tools for the transformer winding faults diagnosis. Previous researchers have proved that the vibration spatial distribution of the winding is significantly influenced by the winding defects for the open circuit condition. In order to study the effects of the loading current on the winding vibrations under different mechanical conditions, experiments were designed and operated on a three-phase transformer winding to analyze the winding vibration distribution under different winding defect cases. Further, to study to what extent the mechanical defects and the loading current influence characteristics of the vibration distribution on the tank, the tank vibration distribution under various winding defects and different loading currents were also measured and discussed. In addition, the possibility of detection of transformer winding faults based on tank vibration spatial distribution characteristics was also discussed.

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Modeling the Hysteresis Characteristics of Transformer Core under Various Excitation Level via On-Line Measurements

Cited by 8 publications

References 21 publications

Distributed Magnetic Flux Density on the Cross-Section of a Transformer Core

Distributed Magnetic Flux Density on the Cross-Section of a Transformer Core

Transformer vibration and noise monitoring system using internet of things

Experimental Research on Power Transformer Vibration Distribution under Different Winding Defect Conditions

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