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Closely Parametrical Model for an Electrical Arc Furnace
To maximise furnace production it-s necessary to optimise furnace control, with the objectives of achieving maximum power input into the melting process, minimum network distortion and power-off time, without compromise on quality and safety. This can be achieved with on the one hand by an appropriate electrode control and on the other hand by a minimum of AC transformer switching. Electrical arc is a stochastic process; witch is the principal cause of power quality problems, including voltages dips, harmonic distortion, unbalance loads and flicker. So it is difficult to make an appropriate model for an Electrical Arc Furnace (EAF). The factors that effect EAF operation are the melting or refining materials, melting stage, electrode position (arc length), electrode arm control and short circuit power of the feeder. So arc voltages, current and power are defined as a nonlinear function of the arc length. In this article we propose our own empirical function of the EAF and model, for the mean stages of the melting process, thanks to the measurements in the steel factory.
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[1] T. Zheng and E.B. Makram, "An adaptive arc furnace model," in IEEE Transactions on Power Delivery, Vol. 15, No. 3, July 2000, pp. 931-939.
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[3] Rafael Collantes-Bellido, Tomas Gomez, "Identification and Modeling of a Three Phase Arc Furnace for Voltage Disturbance Simulation," IEEE T.P.D.., Vol. 12, pp. 1812-1817, October 1997.
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[8] B. Boulet, G. Lalli and M. Ajersch, "Modelling and control of an electric arc furnace," in Proceedings of the American Control Conference, Denver, Colorado, 2003, pp. 3060-3064.
[9] K. Timm, "Circle diagram of AC-Furnaces," Electrical Engineering of Arc Furnaces Symposium, Kehl, Germany, 18-21 April 2005.
[10] M. Sakulin: "Simulation of electric arcs in melting furnaces", BNCE - Electroheat for Metals Conference, Ber. 1.4, Cambridge, 1982.
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