Black-Box Power Transformer Winding Model

Horvat, Marko; Jurkovic, Zvonimir; Jurišić, Bruno; Župan, Tomislav; Cucic, B.

doi:10.23919/arwtr54586.2022.9959949

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…As a black box, the three-phase transformer is connected to the source and the measurement device, and its behavior is examined [62]. In this model, the source can be considered as a sinusoidal variable frequency [62] or an impulse generator [63], while the oscilloscope records measured signals from a terminal of the black-boxed transformer [62], [63].…”

Section: ) Black Box Modelmentioning

confidence: 99%

Transformer Resonance: Reasons, Modeling Approaches, Solutions

et al. 2023

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Due to the extension of the power grid with many complex and compact pieces of power equipment, transformers will be more exposed to fast transient, resulting from various resonance conditions. Transformer resonance can result in severe overvoltage on internal parts of the winding, leading to insulation failure and, consequently, transformer outage. The main reasons for resonance occurrence, the practical method to measure the resonance of transformers, and the solution for preventing transformer resonances have been discussed in the scientific reports over the past few decades; however, a comprehensive review of these studies is not present in the literature. Hence this paper aims to provide a comprehensive review to categorize the main reasons for transformer resonance, modeling methods, and appropriate solutions to suppress this phenomenon and suggest some prospective protection for future works.

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Section: ) Black Box Modelmentioning

confidence: 99%

Transformer Resonance: Reasons, Modeling Approaches, Solutions

et al. 2023

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“…However, winding design information is often unavailable outside of the factory for researchers. To date, the demand of constructing a transformer model without winding design data is increasing, and two modelling approaches exist, that is, black-box model [6][7][8] and gray-box model [9][10][11][12][13][14][15][16][17] techniques. Compared with the black-box model, which is a pure mathematical expression, the graybox model has the advantage in representing the physical structure to a certain degree.…”

mentioning

confidence: 99%

Parameter identification of transformer lumped element network model through genetic algorithm‐based gray‐box modelling technique

Cheng,

Yang,

Shen

et al. 2023

IET Electric Power Appl

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The lumped element network model has been proven to be an efficient tool for the interpretation of transformer Frequency Response Analysis. However, it is challenging to obtain parameters of the model if transformer design information is unavailable. In such a case, optimisation algorithms can be used for gray‐box model parameter estimation. A methodology is developed by the authors to establish a transformer network model without winding design data, and instead, end‐to‐end open circuit Frequency Response and other terminal test results are utilised; and Genetic Algorithm is applied to approximate the unknown parameters of the model. The modelling approach developed is independent of the unit number of the network model and therefore guarantees the accuracy of optimisation. Furthermore, it can deal with transformers with a complicated winding structure such as interleaved disc type winding. Two single windings, helical and interleaved disc type, and a single‐phase 144/13 kV 60 MVA transformer are used to demonstrate the method. FRA spectra produced by the best estimated gray‐box model and the corresponding white‐box model are compared. The main features in amplitude and phase spectra are well matched, with low values of Relative Standard Deviation, for both single windings and transformer. Estimated electrical parameters show a high consistency with reference values, which are calculated based on winding design data. This validates the methodology and gives confidence to apply grey‐box modelling for FRA interpretation.

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Black-Box Power Transformer Winding Model

Cited by 2 publications

References 8 publications

Transformer Resonance: Reasons, Modeling Approaches, Solutions

Transformer Resonance: Reasons, Modeling Approaches, Solutions

Parameter identification of transformer lumped element network model through genetic algorithm‐based gray‐box modelling technique

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