Considering the tap-changing modifications in protection of EAF transformers

Sadeghi, Reza; Samet, Haidar; Ghanbari, Teymoor; Daryabar, Darioush

doi:10.1016/j.ijepes.2021.106857

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…An analysis of (8) shows that matrix X = [k m] Trans , which minimizes Er, can be calculated based on X = (A T A) −1 A T D.…”

Section: The First Modified Schwarz Modelmentioning

confidence: 99%

“…Therefore, having an accurate EAF model is essential to evaluate the performance of reactive power compensators methods for enhancing power quality. Also, improving arc stability [6][7], the development of security measures employed in EAF plants [8][9], designing control systems, and performance optimization of EAFs [10] necessitate suitable modeling of EAFs. In addition, the need to predict the reactive power, to improve the compensators' performance, increases the significance of an accurate EAF model [11][12].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced models with time‐series coefficients used for electric arc furnace

Babaei

Samet

Jalil

2023

IET Generation Trans & Dist

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Electric arc furnace (EAF) is one of the most disturbing loads in the power system as it is highly time-varying and nonlinear. In this paper, new models based on the instantaneous EAF voltage and current, recorded from EAFs in Mobarakeh steel company in Isfahan/Iran are proposed. The focus of this paper is on developing efficient models based on the Schwarz model where three modified types are proposed. The original Schwarz model has four constant parameters. Unlike the original Schwarz model which uses invariant parameters, the time-varying nature of the arc's parameters is considered in the proposed models. The first modified model has two constant model orders and two time-varying coefficients. Additionally, to further enhance the model's accuracy, in the second modified model, six parameters include three constant model orders, and three time-varying coefficients exist. The third model uses all the original model's parameters as time-series parameters. The parameters of the time-varying model are derived using autoregressive moving average (ARMA) models. The accuracy of the proposed model is evaluated by calculating the active power, harmonics, instantaneous flicker, and short-term flicker. Finally, three MATLAB codes are provided to generate the model parameters time series.

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“…An analysis of (8) shows that matrix X = [k m] Trans , which minimizes Er, can be calculated based on X = (A T A) −1 A T D.…”

Section: The First Modified Schwarz Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced models with time‐series coefficients used for electric arc furnace

Babaei

Samet

Jalil

2023

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…Flicker and harmonics degrade the quality of the power system [5]. Additionally, an effective EAF model is required for estimating the voltage and current waveforms, to enhance arc stability [6][7][8], for the proper design of the protection system [9,10], to evaluate the effectiveness of different compensating devices for improving the performance of EAFs [11,12] and in case of nonavailability of the actual data. Actual measurements of EAFs are usually not available to everyone and it will not be easy to carry out the measurements due to administrative and technical prob-lems.…”

Section: Introductionmentioning

confidence: 99%

Optimized time varying parameters of the power balance equation model for electric arc furnaces

Babaei,

Samet

2024

IET Generation Trans & Dist

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An accurate model of electric arc furnaces (EAFs) is required to analyse their impact on the system's power quality. One of the well‐known approaches to model EAF is using the power balance equation. This model has two terms, each one has a coefficient named the model parameter. Also, both terms are powered to values, which are called model orders. So, the model includes two model parameters and two model orders. Model orders highly affect the modelling precision. The optimum model orders have not been obtained yet in previous studies. Here, based on many actual records from EAFs, the best model orders for refining, melting, and scrapping stages are attained. Unlike the original power balance equation which has constant model parameters, the first proposed model uses the attained optimal model orders with the time‐varying model parameters. In the second proposed model, the model orders are also considered time‐varying. Model parameters, which are updated every 10 ms, are obtained using autoregressive moving average (ARMA) models. The correctness of the models is assessed by calculating some important electric quantities using the actual data and the proposed models. Finally, the time‐varying parameters are generated using two MATLAB codes.

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