Harmonic-based thermal analysis of electric arc furnace's power cables considering even current harmonics, forced convection, operational scheduling, and environmental conditions

Jamali-Abnavi, Ahmadreza; Hashemi‐Dezaki, Hamed; Ahmadi, Abdorrasoul; Mahdavimanesh, Ehsan; Tavakoli, M.

doi:10.1016/j.ijthermalsci.2021.107135

Cited by 11 publications

(4 citation statements)

References 65 publications

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“…e single-line diagram of the understudy EAF's supply system is shown in Figure 11. As depicted, the studied EAF has been connected to the external grid through two sets of transformers, including the 400/63 kV power transformer and the EAF transformer (63/0.9 kV) [15]. A 63 kV cable system with a nominal current of 1100 A with 1320 m length has been installed for the power transmission section.…”

Section: Test System Descriptions and Measurement Resultsmentioning

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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Section: Test System Descriptions and Measurement Resultsmentioning

confidence: 99%

“…Literature Review. Several studies have proposed various models to identify the EAF behavior and characteristics [15,16]. Models used to describe EAF have been classified into two categories, e.g., frequency-domain and time-domain models.…”

Section: Motivation and Incitementmentioning

confidence: 99%

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

Self Cite

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“…As a result, the difference in sensor signals depends only on eccentricity along the measurement axis. To control eccentricity simultaneously in two directions perpendicular to each other, two pairs of sensors are installed so that sensitivity axes of each pair are located at an angle of 90° [4].…”

Section: Eddy Current Methodsmentioning

confidence: 99%

Study of physical control methods for metric parameters of extended products in cable industry

Yarkimbaev¹,

Fedorov²,

Redko³

et al. 2022

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The paper discusses the problems of electrical cables metric (geometric) parameters measurement. The methods of measuring the eccentricity of the electric cables (contact, ultrasonic, X-ray, and inductive-optical) are considered. The advantages and disadvantages of using these methods of technological control of cable products are shown. A study of the inductive-optical conversion method for measuring the eccentricity of a singlecore cable, including the circuit for switching on the windings of the inductive converter, is proposed; the design of this converter is presented. The proposed solution makes it possible to achieve good conversion linearity when the conductor is displaced in the control zone. Wherein there is no need to use a system of mechanical drives for centering the magnetic transducer. In addition, the proposed scheme enables to combine the magnetic and optical transducer constructively in the same plane, which ensures to reduce its longitudinal dimensions relative to known analogues. The device prototype for eccentricity control is created based on the proposed transducer; its technical characteristics are confirmed. Direction of further research is determined as part of the development of the industrial design of the device.

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“…The test was carried out for 8 hours with the first 2 hours for the heating process, the next 2 hours for the stable temperature process at a maximum temperature of 100°C and the last 4 hours for the cooling time until the initial condition. This 8-hour cycle is carried out for 20 times using a thermocorder tool [10,12,13].…”

Section: Heating Cycle Testmentioning

confidence: 99%

Characteristic Testing of the Ground Cable Using Tan Delta (Td) Test Method on Two Segments of the Medium Voltage Cable Menteng Area

et al. 2022

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This research is based on the existence of underground cable problems due to rainfall in certain areas, especially the Central Jakarta area results in an increase in soil moisture that can degrade the dielectric strength of the SKTM and potentially SKTM interference. Therefore, Tan Delta testing method is carried out as a predictive step to analyze the cable health condition and an early method to determine the good/bad of the test cable. After testing tan delta, it was obtained that the acquisition of segment 1 data results were in good condition because the average value of delta tan in all three phases was 1.0, with the differential results being 0.0 and deviation standard 0.0. Action to segment 1 is periodic maintenance of 5 years. Then in segment 2, the data obtained the average value of tan delta phase R 70.6, phase S 143.9, and phase T 83.92. For differential of phase R 161.7, phase S 33.7, and phase T 135.08. Finally, deviation standard at phase R 4.57, phase S 20.14, and phase T 2.43. From IEEE 400.2-2013 standard, it can be concluded that segment 2 is in poor condition and need action as soon as possible of PD Tests and cable replacement

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Harmonic-based thermal analysis of electric arc furnace's power cables considering even current harmonics, forced convection, operational scheduling, and environmental conditions

Cited by 11 publications

References 65 publications

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

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

Study of physical control methods for metric parameters of extended products in cable industry

Characteristic Testing of the Ground Cable Using Tan Delta (Td) Test Method on Two Segments of the Medium Voltage Cable Menteng Area

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