Harmonic-based expected life estimation of electric arc furnace's high voltage polymeric insulated cables based on electro-thermal stresses considering sheath bonding methods and transient over-voltages

Jamali-Abnavi, Ahmadreza; Hashemi‐Dezaki, Hamed

doi:10.1016/j.epsr.2021.107699

Cited by 1 publication

(2 citation statements)

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“…In Figure 12, the EAF voltage and current measurements are shown. Also, Figure 13 presents the recorded harmonic distortion of the studied EAF [8].…”

Section: Test System Descriptions and Measurement Resultsmentioning

confidence: 99%

“…Due to the stochastic changes in the arc length and other behaviors of electric arcs during the fusion and refining process, EAF's characteristics would be dynamic, nonlinear, and time-variant [4,5]. Accordingly, EAF causes power quality problems in the supply network, such as voltage and current imbalances [6], harmonics [7,8], and voltage flicker [9][10][11]. To investigate the EAF's adverse effects in the point of common coupling (PCC) and provide appropriate solutions to deal with the disturbances, using precise EAF mathematical models and implementing the EAF in specialized simulation software is essential [12][13][14].…”

Section: Motivation and Incitementmentioning

confidence: 99%

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Optimal Electric Arc Furnace Model’s Characteristics Using Genetic Algorithm and Particle Swarm Optimization and Comparison of Various Optimal Characteristics in DIgSILENT and EMTP-RV

Nooshabadi

Sadeghi

Hashemi‐Dezaki

2022

International Transactions on Electrical Energy Systems

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The stochastic and nonlinear characteristics of electric arc furnaces (EAFs) lead to power quality challenges in the power system. In studying EAF behaviors, having optimized characteristics/models, selecting a suitable and optimum model that adapts to the actual characteristics of EAFs, and investigating simulation software’s capability for implementing EAF models are essential. However, the literature shows a research gap in investigating EAF simulations in various software products based on different models. This paper studies several time-domain models, such as piece-wise linear, modified piece-wise linear, hyperbolic, exponential, and exponential-hyperbolic models, for EAF modeling and simulation. The optimal estimation of parameters for the introduced models is necessary to adapt actual EAF characteristics. Thus, one of the studies taken in this paper is optimizing the EAF model’s characteristics. The proposed optimization problem is solved using the genetic algorithm (GA) and particle swarm optimization (PSO). Moreover, the optimized models are simulated in DIgSILENT and EMTP-RV to investigate different EAF models from the viewpoint of accuracy and efficiency. The optimization of different EAF models’ characteristics and comparison of EMTP-RV and DIgSILENT in simulating EAF behavior are the contributions of this paper. The proposed method is validated based on the actual data of a realistic EAF-based steel company in Iran. The obtained results show that the modified piece-wise linear model has the most accuracy in identifying the EAF behavior. The test results based on DIgSILENT and EMTP-RV simulations imply that the EAF could be simulated with high accuracy using modified piece-wise linear and piece-wise linear models. In general, EMTP-RV has expressed more accuracy in simulating different EAF models, and the simulation execution speed of EMTP-RV is around 2.5 times faster than DIgSILENT. In contrast, DIgSILENT is more suitable to facilitate the power system studies of EAF according to its extensive study tools and library.

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“…In Figure 12, the EAF voltage and current measurements are shown. Also, Figure 13 presents the recorded harmonic distortion of the studied EAF [8].…”

Section: Test System Descriptions and Measurement Resultsmentioning

confidence: 99%