Analytical model of iron losses in power transformers

Elleuch, M.; Poloujadoff, M.

doi:10.1109/tmag.2003.808591

Cited by 25 publications

(15 citation statements)

References 62 publications

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“…A dynamic core loss model as a function of voltage has been derived in References 16, 17. This model has been used also for ferroresonance studying in Reference 18.…”

Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 99%

Real‐time smoke simulation with improved turbulence by spatial adaptive vorticity confinement

Wong

Pang

et al. 2011

Computer Animation & Virtual

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Turbulence modeling has recently drawn many attentions in fluid animation to generate small-scale rolling features. Being one of the widely adopted approaches, vorticity confinement method re-injects lost energy dissipation back to the flow. However, previous works suffer from deficiency when large vorticity coefficient e is used, due to the fact that constant e is applied all over the simulated domain. In this paper, we propose a novel approach to enhance the visual effect by employing an adaptive vorticity confinement which varies the strength with respect to the helicity instead of a user-defined constant. To further improve fine details in turbulent flows, we are not only applying our proposed vorticity confinement to lowresolution grid, but also on a finer grid to generate sub-grid level turbulence. Since the incompressible Navier-Stokes equations are solved only in low-resolution grid, this saves a significant amount of computation. Several experiments demonstrate that our method can produce realistic smoke animation with enhanced turbulence effects in real-time.

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“…A dynamic core loss model as a function of voltage has been derived in References 16, 17. This model has been used also for ferroresonance studying in Reference 18.…”

Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 99%

Real‐time smoke simulation with improved turbulence by spatial adaptive vorticity confinement

Wong

Pang

et al. 2011

Computer Animation & Virtual

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“…A dynamic core loss model as a function of voltage was derived in [26,27]. This model has also been used for the ferrororesonace study in [19].…”

Section: Ferroresonance Laboratory Test Circuit and Its Elementsmentioning

confidence: 99%

“…Non-linear loss model parameters C o and C q are found from core loss measured at different excitation voltages applying a least square method [27]. The resulting V -I characteristic of the non-linear resistance is shown in Figure 4.…”

Section: Ferroresonance Laboratory Test Circuit and Its Elementsmentioning

confidence: 99%

Harmonic Balance Based Stability Domain Analysis of Period-1 Ferroresonance

Moradi

Gholami

2011

Electric Power Components and Systems

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In an attempt to find regions at risk of ferroresonance, different timedomain simulations and analytical approaches were investigated on a one-phase laboratory transformer. A 2D bifurcation diagram based on a one-term harmonic balance method has been developed. It was shown that increase of core losses during over-voltages significantly affects the stability domain of period-1 ferroresonance. Time-domain simulations show that a static core loss model as a function of the maximum flux of the transformer predicts the second bifurcation point with enough accuracy. This modeling approach was incorporated in harmonic balance analysis. A comparison has been made between analysis and measurements.

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“…Harmonic problems arise in an end-user facility [8] . The losses in the utility supply system are much higher than those in the transmission line.…”

Section: Field Measurement In 04 Kv Networkmentioning

confidence: 99%