Analyzing power quality issues in electric arc furnace by modeling

Bhonsle, Deepak C.; Kelkar, Ramesh B.

doi:10.1016/j.energy.2016.09.043

Cited by 42 publications

(28 citation statements)

References 6 publications

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“…In the literature, many models of arc devices can be found, ranging from static ones, used e.g. for modeling the work of welding devices [1,2], through to the quasi-dynamic [3,4], and ending with dynamic models [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Impact of Arc Furnaces on the Quality of Power in Supply Systems

Łukasik

Olczykowski

2020

Energies

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Arc furnaces, due to their high unit power and load nature, belong to the receivers affecting the power quality. A dynamically changing electric arc is the main source of disturbances generated by arc devices. This current article presents the results of model tests of disturbances caused by arc furnaces. It also presents the attempts to estimate the power supply conditions for arc furnaces, so that they do not generate unacceptable disturbances to the power system. Various models of the electric arc are proposed. The values of the elements making up the furnace supply system were based on actual parameters. In these networks, measurements of electricity quality indicators were carried out, which allowed us to refer to the obtained results of model tests with the real values. Accordingly, to the real conditions, the values of the short-circuit power of the network and the power of furnace transformers were also adopted in the tests.

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Section: Introductionmentioning

confidence: 99%

Estimating the Impact of Arc Furnaces on the Quality of Power in Supply Systems

Łukasik

Olczykowski

2020

Energies

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“…Based on the results of the energy audit, a cluster of tasks is formed, the solution of which is aimed at energy saving and increasing the efficiency and reliability of the equipment. The electricity quality study is based on the specially developed technique for experimental investigation and analytical calculation of higher harmonics voltage and current in power supply systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Calculation Of Higher Harmonicsmentioning

confidence: 99%

Experimental and Analytical Study of Highest Harmonic Components of Voltage of Industrial Enterprises

Klyuev¹,

Босиков²,

Sokolov³

et al. 2019

Proceedings of the VIII Science and Technology Conference “Contemporary Issues of Geology, Geophysics and Geo-Ecology of the No

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During the implementation of energy efficiency policy in the Russian Federation, issues related to the analysis of the electric power quality (QE) in the power supply systems (PSS) of industrial enterprises are of particular importance. Much attention has been paid in recent years to the problem of the electric power quality both in our country and abroad due to significant economic damage caused by deterioration of QE indicators. The improvement of the main indicators is an integral part of the energy and resource saving policy, the role and importance of which are ever increasing as part of the implementation of the country's energy program. In the course of work, comprehensive studies of electric power quality indicators were carried out using modern measuring devices (AR5, PKK-57), their further analysis using software (DELPHI, MathCad, Excel) and criterial evaluation of theoretical and experimental studies. A method of experimental study of the amplitudefrequency characteristics of the higher voltage harmonics in the 6 kV power supply system of OJSC Pobedit and OJSC Electrozink has been developed. Comparison of experimental data on the harmonic components of currents and voltages and the data of analytical calculations in Fourier series have shown good convergence of the results. The results of the study of nonsinusoidal voltage in the power supply systems, according to the developed calculation methods, were introduced into production at the enterprises of non-ferrous metallurgy of the Republic of North Ossetia-Alania: OJSC Electrozinc (zinc production), OJSC Pobedit (hard-alloy production).

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“…The problem of assessing the stability of electric arc melting processes is reduced to the choice of evaluation criteria and the possibilities of their application in ac cordance with the level of technological development in a particular production. Typical solutions in this part are the presentation as priority electrical modes of operation of the furnaces as energy technology complexes integrated into the power grid [3,4] or thermal performance [5]. In the first case, the actual modeling and parameter estima tion is replaced by a computer using readymade software packages, for example, in the SIMULINK/MATLAB en vironment [3].…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

“…Typical solutions in this part are the presentation as priority electrical modes of operation of the furnaces as energy technology complexes integrated into the power grid [3,4] or thermal performance [5]. In the first case, the actual modeling and parameter estima tion is replaced by a computer using readymade software packages, for example, in the SIMULINK/MATLAB en vironment [3]. In the second case, 3D modeling is used to estimate thermal fields, temperature distribution in the furnace depending on the internal geometry, systems for isolating its individual elements and cooling [5].…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

“…where F jp -the measured value of the output variable, in the j th experiment, which is modal for a fuzzy number F jp , j n = 1 2 , ,..., , p m = 1 2 , ,..., ; Similarly, in the form of (3), the stability coefficient can be represented, which also appears as a fuzzy number. In this case, it can be assumed that the calculated values of entropy and melting stability coefficient for each sample separately and the total sample form the left and right fuzziness boundary in the description (3). In a specific case, it can be assumed that α jp = 2.63, β jp = 2.71 (for a fuzzy number H) and α jp = 0.22, β jp = 0.24 (for a fuzzy number η).…”

Section: Issn 2226-3780mentioning

confidence: 99%

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Stability assessment of 30ХНМЛ steel melting process in electric arc furnaces on the basis of technological audit of serial meltings

Селиверстов

Boichuk

Dotsenko

et al. 2018

TAPR

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Об'єктом дослідження є процес плавки сталі 30ХНМЛ в двох електродугових печах місткістю 6 тонн. Технологічний аудит процесу здійснювався на діючих печах в сталеливарному цеху машинобудівного підприємства, який спеціалізується на виготовленні великого фасонного лиття для виробів транспортного машинобудування. Аудит мав на меті аналіз відповідності виконуваних основних технологічних операцій плавки необхідним регламентованим технологічним інструкціям.На основі проведення серійних плавок отримана вибірка експериментально-промислових даних по визначенню межі міцності зразків сталі 30ХНМЛ. Встановлено, що за реальними виробничим даними серійних плавок неможливо постулювати закон розподілу, зокрема, говорити про нормальний розподіл. Тому використання статистичних вибіркових функцій для оцінки стабільності плавки недоцільно. В якості критерію оцінки стабільності плавки запропоновано використовувати коефіцієнт стабільності (η), заснований на розрахунку ентропії (Н). Запропоновано для практичного застосування в оцінці стабільності плавки використовувати нечіткий опис цих величин. В цьому випадку можна прийняти, що розраховані значення ентропії і коефіцієнта стабільності плавки для кожної вибірки окремо і загальної вибірки формують ліву (α jp ) і праву (β jp ) межу нечіткості. Запропоновано в нечіткому описі використовувати функції приналежності (L-R) типу. У конкретному випадку можна прийняти, що α jp = 2,63, β jp = 2,71 (для нечіткого числа Н) і α jp = 0,22, β jp = 0,24 (для нечіткого числа η).Завдяки запропонованому способу оцінки стабільності плавки забезпечується можливість отримання об'єктивних даних, не покладаючись на припущення про нормальний закон розподілу. Запропонований спосіб інваріантний типу технологічного процесу в заготівельному виробництві. Це можуть бути процеси обробки металів тиском, термічної обробки та інші металургійні процеси. Важливість запропонованого способу пов'язана з тим, що якість подальших технологічних операцій для отримання готових деталей залежить від успадкування якості заготівельного виробництва як попередніх технологічних етапів виробництва продукції.Ключові слова: електродугова піч, плавка сталі, коефіцієнт стабільності плавки, функція приналежності, нечітке число, межа нечіткості. Seliverstov V., Boichuk V., Dotsenko V., Kuzmenko V. TECHNOLOGY AUDIT AND PRODUCTION RESERVES -№ 6/1(44), 2010, © Dotsenko Y., Dotsenko N., Tkachyna Y., Fedorenko V., Tsybulskyi Y.

show abstract

Analyzing power quality issues in electric arc furnace by modeling

Cited by 42 publications

References 6 publications

Estimating the Impact of Arc Furnaces on the Quality of Power in Supply Systems

Estimating the Impact of Arc Furnaces on the Quality of Power in Supply Systems

Experimental and Analytical Study of Highest Harmonic Components of Voltage of Industrial Enterprises

Stability assessment of 30ХНМЛ steel melting process in electric arc furnaces on the basis of technological audit of serial meltings

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