Quasi-3D finite element modeling of a power transformer

Jimenez-Mondragon, V. M.; Escarela‐Perez, R.; Melgoza, E.; Arjona, M. A.; Olivares-Galván, J. C.

doi:10.1109/cefc.2016.7816011

Cited by 1 publication

(1 citation statement)

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“…The air-core inductance (like many other electrical parameters), may be accurately computed using rigorous computational electromagnetic techniques such as the finite element method [27] or the method-of-moments [28]. Analytical formulations are also available [29].…”

Section: E Parameter Determinationmentioning

confidence: 99%

Application of Duality-Based Equivalent Circuits for Modeling Multilimb Transformers Using Alternative Input Parameters

Shafieipour

Ziomek²,

Jayasinghe

et al. 2020

IEEE Access

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The principle of duality is applied for electromagnetic transient (EMT) modeling of industry scale (i.e. 50, 390 MVA) multilimb transformers. While saturation, hysteresis, deep-saturation, and remanent flux are accounted for, the need for transformer internal design information such as core dimension or material is eliminated. This is achieved by formulating the equivalent circuits with an alternative set of parameters that are either provided by the manufacturer or can be determined using conventional techniques. Open-circuit tests confirm that the models produce accurate excitation currents at different saturation levels when compared with measurement results. Furthermore, the models facilitate correct short-circuit condition with support for arbitrary number of windings. Upon validating the models, inrush current is simulated and the worst-case scenario is determined due to potential remanent flux values. The findings agree with an established EMT simulation model as well as manufacturer analytical approximations. Simulated hysteresis loops are also investigated.INDEX TERMS Principle of duality, 3-limb and 5-limb transformer models, miltilimb multiwinding transformers, inrush current, remanent flux, hysteresis loop, electromagnetic transient.

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Section: E Parameter Determinationmentioning

confidence: 99%