No-Load Losses in Transformer under Overexcitation/Inrush-Current Conditions: Tests and a New Model

Gaudreau,; Picher,; Bolduc,; Coutu,

doi:10.1109/mper.2002.4312224

Cited by 4 publications

(4 citation statements)

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“…Other nonlinear core loss models proposed in literatures can be categorized as follow: Figure 8 shows the hysteresis curve when the transformer is in high saturation region, excited with a fundamental frequency overexcitation of 1.5 p.u. As it is evident and also recognized in Reference [15], the hysteresis curve, which is provided by the voltage integral as a function of the current, tends to widen out more at the knee point than at the zero flux level. A model of the instantaneous magnetizing resistance (IMR) as a function of the instantaneous flux has been developed in Reference [15].…”

Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 52%

“…As it is evident and also recognized in Reference [15], the hysteresis curve, which is provided by the voltage integral as a function of the current, tends to widen out more at the knee point than at the zero flux level. A model of the instantaneous magnetizing resistance (IMR) as a function of the instantaneous flux has been developed in Reference [15].…”

Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 52%

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Numerical and experimental analysis of core loss modeling for period-1 ferroresonance

Moradi

Gholami

2010

Euro. Trans. Electr. Power

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Iron losses strongly influence ferroresonance behavior of power transformers. Core losses have a great importance on the lower limit of the voltage source interval where a fundamental ferroresonance regime exists. This paper is concerned with comparing analytical nonlinear core loss models implemented to fundamental ferroresonance studies. A simple singlephase model is used to represent the case of ferroresonance between a transformer and a capacitor. Comparisons are made between the analytical methods and corresponding experimental results. Simulation results show that estimation of the core losses with enough accuracy determines the second bifurcation point, whatever the core loss model is.

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Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 52%

Section: Power Transformer No Load Core Loss Modelingmentioning

confidence: 52%

Numerical and experimental analysis of core loss modeling for period-1 ferroresonance

Moradi

Gholami

2010

Euro. Trans. Electr. Power

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“…Total core losses of a high-voltage power transformer were seen to increase by a factor of approximately ten between the rated voltage and 1.4 p.u. of over-excitation [25].…”

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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“…From the point of view of the practical application in transient calculation, a magnetizing branch can be simplified as a nonlinear inductance in parallel with an appropriate core loss resistance Rm [5]- [8], as shown in Fig. 1.…”

Section: Modeling Of Magnetizing Branchesmentioning

confidence: 99%

A realistic algorithm for transient calculation of the electric networks including magnetizing branches

Zhang

Shi

2010

2010 International Conference on Power System Technology

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A simplified model of magnetic saturation characteristics is proposed in this paper for transient calculation of the electric networks including magnetizing branches. The model represents the magnetic saturation characteristics by the continuous function instead of the piecewise linear approximation. Based on the proposed model, a realistic transient algorithm is developed. The nonlinear differential equations describing the transient behavior of the magnetizing branches are solved by the semi-explicit Runge-Kutta method, in which non-iterative computations are involved. The transient calculation for the remaining linear network is performed in terms of the solution to the magnetizing branches. A comparison is made between calculated and experimental results to confirm the validity of the algorithm.

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No-Load Losses in Transformer under Overexcitation/Inrush-Current Conditions: Tests and a New Model

Cited by 4 publications

References 0 publications

Numerical and experimental analysis of core loss modeling for period-1 ferroresonance

Numerical and experimental analysis of core loss modeling for period-1 ferroresonance

Harmonic Balance Based Stability Domain Analysis of Period-1 Ferroresonance

A realistic algorithm for transient calculation of the electric networks including magnetizing branches

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