Simulation results on the reactive power compensation process on electric arc furnace using PSCAD-EMTDC

Pănoiu, Manuela; Pânoiu, Caius; Sora, Ioan; Osaci, Mihaela

doi:10.1504/ijmic.2007.014943

Cited by 6 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the EAF model must take into account the instances when x1, x2, x3 are negative (i.e. the electrodes are suspended above the slag), like in fig 1. scrap slag -ve X +ve X B. Characteristics of the AC electric arc As given in [1], [9], [10], [11], [12], [13], one can consider that during the burning of the AC electric arc, the equivalent diagram of the supplying circuit can be represented as shown in figure 2. The variation curves of the electrical issues from the equivalent scheme of the supplying circuit are presented in figure 3.…”

Section: A Arcingmentioning

confidence: 99%

“…The results of these simulations are detailed in several previous papers [2], [9], [10], [11], [12], [13]. d) The deforming power, specific to the non-sinusoidal, periodical work conditions, is defined by relation:…”

Section: A Arcingmentioning

confidence: 99%

“…The simulations was made using PSCAD EMTDC, based on an electric arc model [9], [10], [11]. This model …”

Section: Positionmentioning

confidence: 99%

“…The significant values of the reactive power cause important losses of active power, therefore the efficiency are affected [1], [2], [5], [6], and [11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Study about the possibility of electrodes motion control in the EAF based on adaptive impedance control

Pănoiu

Pânoiu

Deaconu

2008

2008 13th International Power Electronics and Motion Control Conference

Self Cite

View full text Add to dashboard Cite

The paper presents a study about the possibility of adaptive process control in three phased electric arc furnace. The method is based on the electrodes motion control. The control principle is depending on impedance of the electric arc. The method proposed use a data acquisition board whose input signals are taken from electric arc. These signals allow the calculation of electric arc impedance. Using a numeric computer, it can be commands the control of electrodes position independently on each one of three phases. We propose to use a static frequency converter on each phase to control the electrodes motion

show abstract

Section: A Arcingmentioning

confidence: 99%

Section: A Arcingmentioning

confidence: 99%

See 2 more Smart Citations

Study about the possibility of electrodes motion control in the EAF based on adaptive impedance control

Pănoiu

Pânoiu

Deaconu

2008

2008 13th International Power Electronics and Motion Control Conference

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simulation and modelling are successfully used in science and engineering [1][2][3][4][5][6][7][8]. Regarding the models which describe the magnetic behaviour of nanopar- * corresponding author; e-mail: matteo.cacciola@unirc.it ticle systems, the literature presents theoretical models and simulation models.…”

Section: Introductionmentioning

confidence: 99%

Studies on Approximation Methods in Calculating the Magnetic Dipolar Interaction Energy, and Its Impact on the Relaxation Time of Magnetic Nanoparticle Systems

Cacciola

Berdie

2016

Acta Phys. Pol. A

View full text Add to dashboard Cite

The studies on monodomain magnetic nanoparticle systems in colloidal suspensions have heightened lately due to their technological applications, in particular in medicine. Most applications depend on the behaviour of these systems in external magnetic field. In these systems, the nanoparticle dynamics are characterized by the Néel relaxation time and Brownian relaxation time. Due to the complexity of these systems, modelling and numerical simulation, requiring some methods of calculation, are used in the studies. Lately, it has been experimentally and theoretically shown that the magnetic dipolar interactions among nanoparticles influence the behaviour of the systems, even at low concentrations of nanoparticles. The complexity of the problem related to this type of interaction comes from its long-range anisotropic characteristic. This paper presents a series of studies on how the approximation methods, used for the dipolar magnetic interaction energy calculation, affect the magnetic nanoparticle relaxation time, as well as the impact of this aspect on the interpretation of results.

show abstract

Modeling of the Electric Arc Behavior of the Electric Arc Furnace

Pănoiu

Pânoiu

Ghiormez

2013

Soft Computing Applications

Self Cite

View full text Add to dashboard Cite

Abstract. During the electric arc furnace operation appear disturbances, which can affect the other equipments that are connected to the same power network. So it is necessary to develop models for the electric arc which characterizes the electric arc behavior in order to identify methods and solutions through which the disturbances that appear in the power network can be reduced. This paper presents two proposed models used to simulate the electric arc behavior of a 3-phase electric arc furnace which were implemented using the Simulink toolbox of Matlab. In order to facilitate the analysis of the influence of the model parameters, graphical user interfaces were implemented. Then, the simulation results were compared with known results.

show abstract

Simulation results on the reactive power compensation process on electric arc furnace using PSCAD-EMTDC

Cited by 6 publications

References 7 publications

Study about the possibility of electrodes motion control in the EAF based on adaptive impedance control

Study about the possibility of electrodes motion control in the EAF based on adaptive impedance control

Studies on Approximation Methods in Calculating the Magnetic Dipolar Interaction Energy, and Its Impact on the Relaxation Time of Magnetic Nanoparticle Systems

Modeling of the Electric Arc Behavior of the Electric Arc Furnace

Contact Info

Product

Resources

About