Electric energy demand management in mining industry using smart power grids

At the modern scale of development of power grids, the mining industry should change to intelligent control of electric energy demand. Toward the science-based supervision of intellectualization of process flow control using neural network technologies, it is required to develop smart variable frequency drives and to enable control of electrotechnics parameters. The analytical programs and software are required to ensure energy efficiency management and electrical equipment reliability. In transition of power grids in the mining industry from the traditional arrangement to the novel flexible architecture and intelligent control within the concept of distributed power, it is required to develop mechanisms of electric energy demand management. The top-priority trends in innovative engineering concerned with electric energy demand management are: digital counters and reporting systems in power consumption; software/hardware for the power consumption analysis; cloud and distributed systems of intelligent analysis and control in power consumption. Construction of a smart power grid in a mine should include intellectualization of: power equipment and power distribution technology control systems of process flows and power supply; communication and information facilities; automated reporting and control of power consumption. Creation of automated smart power grids for the largest power consumers in the mining industry can enable appropriate demand management in the sphere of energy resources.

Petrov V. L., Kuznetsov N. M., Morozov I. N. Electric energy demand management in mining industry using smart power grids. MIAB. Mining Inf. Anal. Bull. 2022;(2):169-180. [In Russ]. DOI: 10.25018/0236_1493_2022_2_0_169.

V.L. Petrov, Dr. Sci. (Eng.), Professor, Vice-Rector, National University of Science and Technology «MISiS», 119049, Moscow, Russia, e-mail: petrovv@misis.ru, ORCID ID: 0000-0002-6474-5349,
N.M. Kuznetsov, Cand. Sci. (Eng.), Leading Researcher, Northern Energetics Research Centre Kola Science Centre of Russian Academy of Sciences, 184209, Apatity, Russia, e-mail: n.kuznetsov@ksc.ru, ORCID ID: 0000-0002-9440-8677,
I.N. Morozov, Cand. Sci. (Eng.), Assistant Professor, Murmansk Arctic State University (MAGU), 183038, Murmansk, Russia, e-mail: moroz.84@mail.ru.

V.L. Petrov, e-mail: petrovv@misis.ru.

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