A new time domain voltage source model for an arc furnace using EMTP

Varadan, Srinivas; Makram, Elham B.; Girgis, A.A.

doi:10.1109/61.517535

Cited by 143 publications

(50 citation statements)

References 7 publications

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“…The new method is studied using MATLAB (Simulink). Figure 1 shows the actual V-I characteristics and its piecewise linear model an arc furnace [1], [5]. The arc ignition voltage and the arc extinction voltage are determined by the arc length during arc furnace operation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method of Electrical Arc Furnace Modeling for Flicker Study

Golkar¹,

Bina²,

Meschi³

et al. 2024

RE&PQJ

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Abstract:Voltage flicker and harmonics are the power quality problems which are introduced to the power system as a result of nonlinear and stochastic behavior of the arc furnace operation. To analyze harmonic and flicker generated by an arc furnace, accurate arc furnace models are needed. In this paper, different arc furnace models with different level of complexity are reviewed.In the first part of this paper a new developed time domain static model based on a piece-wise linear approximation of the V-I characteristics of the arc furnace is presented. While static arc models are useful for harmonic studies, dynamic models are useful for power quality studies specially the study of voltage flicker.In the second part of the paper, dynamic model for an arc furnace using MATLAB (Simulink) is presented. In addition to this, the novelty of this simulation technique lies in the fact that the variation of power transmitted to the load by the arc furnace during the cycle of operation is considered, thus making the proposed model more accurate and dependent on the operating conditions of the load.Finally recommendations are made for the application of some of these models and the accuracy of the presented model to other models from the practical point of view by using MATLAB is shown.

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Section: Introductionmentioning

confidence: 99%

A Novel Method of Electrical Arc Furnace Modeling for Flicker Study

Golkar¹,

Bina²,

Meschi³

et al. 2024

RE&PQJ

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“…For example, references [1][2][3] model the electric arc by a resistance and nonlinear resistance but they cannot suitably present the physics behaviour of the electric arc. Electric arc conductance models are proposed by [4,5] that are classic differential equations for representation of an arc with high or low current conditions, separately.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of modelling AC electric arc by one-dimensional interpolation for power system harmonics analysis

et al. 2016

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Abstract. Electric arc is a discharge phenomenon caused by particular electrical events and arc produced facilities in power system, for example the occurrence of short-circuit fault in feeders and the use of electric arc furnace for steelmaking. All of these electric arcs have a highly nonlinear nature and can be considered as a significant source of power quality problems. To investigate the impacts of the electric arcs on power quality studies the development of the electric arc models for simulation analysis is became necessary. This paper thus presents the use of different onedimensional interpolation methods for modelling the alternating current electric arc. The performances of different methods are compared by simulation results that are derived from the modelling of an alternating current electric arc furnace load and a low-frequency fluorescent tube.

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“…The first sub-group involves models, such as: EAF electrode control, arc flicker impacts, investigation of the EAF effects on the electrical grids, etc. 8,[10][11][12] In this group, arc behavior is simulated by equations describing the relations between the voltage and the current [10][11][12] and passive devices. 8) Each stage of the melting process can be modeled in a particular way.…”

Section: Introductionmentioning

confidence: 99%

“…A literature review of the existent EAF models [8][9][10][11][12][13][14][15][16][17][18][19][20] indicates a lack of accurate arc models that could be applied for smart sensing, control or optimization of the energy flows. It is assumed that such model should present specific features that support their industrial application, including minimum input requirement, sufficient accuracy, simple mathematics and short calculation times.…”

Section: Introductionmentioning

confidence: 99%

Low Computational-complexity Model of EAF Arc-heat Distribution

et al. 2015

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The paper presents a computational model and the corresponding algorithm for estimating the arc energy distribution to conductive, convective and radiative heat transfer in an electric arc furnace (EAF). The proposed algorithm uses channel arc model (CAM) in order to compute the distribution of the arc energy through empirical equations (to approximate arc radius), ideal gas law (to approximate arc density) and results of magneto-hydro-dynamic (MHD) models (to approximate arc pressure, temperature and velocity). Results obtained using the proposed algorithm are comparable with other similar studies; however, in contrast to other arc-energy distribution models, this model requires only two input variables (arc length and arc current) in order to calculate the energy distribution. Furthermore, simple algebraic equations used in the algorithm ensure minimal computational load and consequently lead to short calculation times which are approximately one hundred thousand (100 000) times smaller than solving the MHD model equations, making the algorithm suitable for real-time applications, such as smart monitoring and model-based control. The algorithm has been validated by two different approaches. First, the simulation results have been compared to a study dealing with arc-heat distribution in plasma arc furnace; and second, the proposed arc module has been integrated into the frame of a comprehensive EAF model in order to estimate the EAF temperature levels and compare them with operational EAF measurements. Both validations show high levels of similarity with the comparing data.KEY WORDS: arc current; arc heat distribution; arc length; channel arc model; EAF.approximately 75-85% of the total energy in low to medium power furnaces and approximately 50-60% of the total energy in ultra-high power furnaces (UHP).3) Implementing an accurate arc module in a comprehensive model-based EAF control, which ensures optimal control of arc length and slag height can lead to substantial energy saving and associated cost reduction. If a total energy reduction in a 200 ton UHP EAF with approximate annual production of 675 000 tones is 50 kWh/ton, with an assumption of 25 kWh/ton being the electrical energy, with the price of 10 $Cent/kWh, total annual energy savings will be equivalent to 1.7 million $ per year.It is known that the heat generated by the arcs is dissipated into the furnace by all three mechanisms of heat transfer (convection, conduction and radiation); however, the amount of the heat, transferred by each mechanism varies according to several factors, such as arc length, arc current, slag height, stage of melting etc. Development of a computational model of the arc, which allows estimation of the arc-heat distribution should therefore include all three types of heat transfer mechanisms, which can also be used to obtain the overall energy balance of the EAF. Application of such models may provide appropriate tools for optimizing the energy flow or use of model-based control systems in the EAFs.

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A new time domain voltage source model for an arc furnace using EMTP

Cited by 143 publications

References 7 publications

A Novel Method of Electrical Arc Furnace Modeling for Flicker Study

A Novel Method of Electrical Arc Furnace Modeling for Flicker Study

A comparative study of modelling AC electric arc by one-dimensional interpolation for power system harmonics analysis

Low Computational-complexity Model of EAF Arc-heat Distribution

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