Developing the energy-efficient control algorithm for distributed power generation at iron ore underground mines

О. Sinchuk, A. Kupin, Ihor Sinchuk, М. Baranovska, K. Budnikov
Received 11.06.2021, Revised 08.10.2021, Accepted 19.11.2021, Published 17.12.2021
Abstract

The purpose of the research consists in developing logistics to form the economy of the road map of increasing energy efficiency of mining iron ore raw materials through applying automated control power complexes based on power supply systems with distributed power generation. The scientific article uses analytical and experimental research methods, namely, analytical methods of the probability theory and mathematical statistics; experimental methods – the theory experiment planning and conducting, mathematical modelling. The research deals with developing an automated control system (ACS) of power flows at iron ore underground mines which controls (distributes) power flows among consumers on an hourly basis without violating the technology of enterprise functioning (the option "power consumer-regulator"), determines and regulates the mode of power supply in appropriate periods of time (option "power consumer-generator"). In the cost of iron ore production, the energy component reaches 30% and tends to grow constantly. Therefore, methods of improving energy efficiency of iron ore underground mines as a component of the mining and metallurgical industry of Ukraine are urgent issues to be focused upon. The research enables developing logistics of forming the economy of the road map aimed at increasing energy efficiency of mining iron ore raw materials by applying automated controlled power complexes based on power supply systems with distributed power generation. The issue of implementing automated control of the power grid with potential distributed generation of power is considered. The use of a two-rate tariff without fuzzy automated control systems causes an increase in daily costs for consumed power with single-channel (drainage) and two-channel (ore flow and drainage) control by 12.88% and 7.1% respectively. The use of fuzzy controllers enables compensation of these losses. Application of an automated control system with fuzzy three-channel control (ore flow, drainage and ventilation) reduces the cost of power consumed by 4.45% (according to the data on Rodina mine, Kryvyi Rih). Modelling the fuzzy automated control system in modes of additional pumped storage power generation reveals potential opportunities for reducing total power consumption by 15%-35% (at the two-rate tariff) at iron ore underground mines.

Keywords:
iron ore underground mine; power complex; automated control system; multichannel control; pumped storage power generation

Retrieved from Vol. 19, No. 2, 2021

Pages 118–126

References Suggested citation
  1. Вілкул Ю.Г. Сучасний стан залізорудної галузі, прогноз розвитку та пропозиції / Ю.Г. Вілкул, А.А. Азарян, В. А. Колосов, Ф. І. Караманиць, А. С. Батареєв // Качество минерального сырья. Сб. науч. тр., Кривой Рог: ФЛП Чернявский Д. А., 2017. – Т. 1, С. 9-24.
  2. Ступнік М.І. Проблеми розкриття та підготовки рудних родовищ на глибоких горизонтах шахт Кривбасу / М.І. Ступнік, М.Б. Федько, С.В. Письменний та ін // Вісник Криворізького національного університету: зб. наук. праць. – Кривий Ріг, 2018. – Вип. 47, С. 3-8. DOI: 10.31721/2306-5451-2018-1-47-3-8.
  3. Sinchuk I., Budnikov K., Krasnopolsky R. Fundamentals of integrating smart technologies for controlling power systems at iron ore underground mining enterprises / Monograph. – Warsaw: PE Shcherbatykh A.V., 2021. – 127 s.
  4. Закон України «Про ринок енергії» № 1931-IX від 02.12.2021, с. 103.
  5. Sinchuk O. Assessment of the factors influencing on the formation of energy-oriented modes of electric power consumption by water-drainage installations of the mines / Sinchuk O., Sinchuk I., Beridze T., Filipp Y., Budnikov К., Dozorenko O., Strzelecki R. // Mining of Mineral Deposits, 2021. – Volume 15, Issue 4. – pp. 25-33. https://doi.org/10.33271/mining15.04.025
  6. Сінчук О.М. До проблеми створення синергетичних електроенергетичних комплексів з піковими гаес на основі водовідливних систем залізорудних шахт / О.М. Сінчук, Ю.Б. Філіпп, І.О. Сінчук, О.Ю. Михайленко, К.В. Будніков, Р.І. Краснопольський // Гідроенергетика України, 2021. – №3–4, С. 83–89.
  7. Sinchuk O.M., Boiko S.M., Sinchuk I.O. та ін. Aspects of the problem of applying distributed energy in iron ore enterprises‘ electricity supply systems. Multi-authored monograph. – Warszawa: iScience Sp. z. o. o., 2018. – 77 p.
  8. Wu T., Shieh S., Jang S., Liu C. Optimal energy management for a petrochemical plant under considerations of uncertain power supplies / JEEE Transactions on Power Systems, 2005. – 20(3), рр. 1431-1439. DOI: 10.1109/tpwrs.2005.852063
  9. Brand EL, Vosloo J., Mathews E. Automated energy efficien-cyproject identification in the gold minig industry. Proceeding of the 13th Conference on the Industrial and Commercial use of Energy. 2015, рр. 17-22. DOI: 10.1109/ICUE.2015.7280241
  10. Mike Rycroft. Small pumped water storage systems: a new partner for renewable energy. Technology&business for development 2017. Електронний pecypc: URL: https://www.ee.co.za/article/small-pumped-water-storage-systems-new-partner-renewable-energy.html.
  11. Бодянський Є.В. Методи обчислювального інтелекту в системах керування керування технологічними процесами феросплавного виробництва / Бодянський Є.В., Кученренко Є.І., Михальов О.І., Філатов В.О., Гасик М.М. // Монографія. – Дніпропетровськ: НМетАУ, 2011. – 420 с.
  12. Мееров М.В. Многосвязные системы управления / М.В. Мееров, А.В. Ахметзянов, Я.М. Берщанский и др.; под ред. М.В. Меерова. – М.: Наука, 1990. – 264 с.
  13. Молчанов А.А. Моделирование и проектирование сложных систем. – К.: Вища школа, 1988 – 359 с.
  14. Дорф Р., Бишоп Р. Современные системы управления; пер. с англ. – М.: Лаборатория Базовых Знаний, 2004 – 832 с.
  15. Kupin A., Senko A. Principles of intellectual control and classification optimization in conditions of technological processes of beneficiation complexes / CEUR Workshop Proceedings 1356, 2015. – pp. 153-160
Sinchuk, О., Kupin, A., Sinchuk, І., Baranovska, М., & Budnikov, K. (2021). Developing the energy-efficient control algorithm for distributed power generation at iron ore underground mines. Journal of Kryvyi Rih National University, 19(2), 118-126. https://doi.org/10.31721/2306-5451-2021-1-53-118-126
en