Center for Physicotechnical Problems of Power Generation Sector of the North, Kola Science Center, Russian Academy of Sciences, Apatity, Russia:

N. M. Kuznetsov, Leading Researcher, Candidate of Engineering Sciences, kuzn55@mail.ru
V. A. Minin, Head of Laboratory, Candidate of Engineering Sciences
V. N. Selivanov, Director, Candidate of Engineering Sciences

Efficiency advancement in the power generation sector in the Arctic area requires technical and economic analysis of the centralized and independent power supply performance based on the forecast of consumption of fuel and power resources. The backbone of the Murmansk Region economy is the primary industry, including its most power-hungry branches of ferrous metallurgy, nonferrous metallurgy and mining-and-chemical industry. Reliable power supply is critical for the efficient economic performance of the Murmansk Region. To this effect, it is required to adhere to energy-saving, to change to a new power network architecture with distributed power generation, digitalization and intellectualization of power supply, as well as to expand distributed power generation in the energy budget with active participation of consumers in the power demand management. Integration of distributed power generation from renewable energy sources toward sustainable advance and performance of the power network needs a sound concept of virtual power plants, aimed to incorporate generation sources, energy storages and energy consumers. Virtual power plants are to administer power system capacity distribution, voltage adjustment, and wattless power and frequency drift control in the power system upon variation in power consumption.
This article describes the Kola power system diagram, history of power consumption in the Murmansk Region and the change in the fuel-and-energy budget structure with development of the regional mining industry.

1. Available at: http://docs.cntd.ru/document/499091750 (accessed: 15.06.2020).
2. Leksin V. N., Porfirev B. N. Redevelopment of the Arctic area of russia as an objective of systems research and special-purpose program management methodological issues. Ekonomika regiona. 2015. No. 4(44). pp. 9–20.
3. Melnikov N. N. Role of the Arctic Region in the innovation-driven economic development of Russia. Gornyi Zhurnal. 2015. No. 7. pp. 23–27. DOI: 10.17580/gzh.2015.07.04
4. Lukichev S. V., Zhirov D. V., Churkin O. E. Mineral reserves and mineral resources of the Murmansk Region: Current conditions and prospects. Gornyi Zhurnal. 2019. No. 6. pp. 19–24. DOI: 10.17580/gzh.2019.06.01
5. Klyukin A. M., Kuznetsov N. M., Tribunalov S. N. Improving the efficiency of energy use in the Murmansk region. Trudy Kolskogo nauchnogo tsentra RAN. 2016. No. 5-13(39). pp. 107–118.
6. Shutskiy V. I., Kuznetsov N. M., Tokareva E. A., Fishchuk S. A. Analysis and forecasting of power consumption in the Murmansk Region. Promyshlennaya energetika. 1998. No. 10. pp. 5–9.
7. Efimov B. V., Selivanov V. N. Survey of external impacts on electric grid of Kola power system. Trudy Kolskogo nauchnogo tsentra RAN. 2015. No. 2(28). pp. 34–40.
8. Morozov I. N., Kuznetsov N. M., Belova L. A., Borozdina E. D. Transient modes of 110 kv electrical substations using simulation modeling in a MATLAB environment. Vestnik Chuvashskogo universiteta. 2020. No. 1. pp. 113–122.
9. Minin V. A. Prospects for the implementation of renewable energy sources in fuel and energy balance of Murmansk region. Trudy Kolskogo nauchnogo tsentra RAN. 2012. No. 5(12). pp. 106–112.
10. Minin V. A., Konovalova O. E., Ivanova E. A. Prospects of using micro HPP in remote areas of the North. Vestnik Kolskogo nauchnogo tsentra RAN. 2013. No. 3(14). pp. 62–68.
11. Minin V. A., Furtaev A. I. Wind potency in the western sector of the Russian Arctic and its possible uses. IOP Conference Series: Earth and Environmental Science. 2019. Vol. 302. 012067. DOI: 10.1088/1755-1315/302/1/012067
12. Fischer A., Montuelle L., Mougeot M., Picard D. Statistical learning for wind power: A modeling and stability study towards forecasting. Wind Energy. 2017. Vol. 20, Iss. 12. pp. 2037–2047.
13. Qinkai Han, Sai Ma, Tianyang Wang, Fulei Chu. Kernel density estimation model for wind speed probability distribution wit h applicability to wind energy assessment in China. Renewable and Sustainable Energy Reviews. 2019. Vol. 115. 109387. DOI: 10.1016/j.rser.2019.109387
14. Long M., Becerra M., Thottappillil R. On the attachment of dart lightning leaders to wind turbines. Electric Power Systems Research. 2017. Vol. 151. pp. 432–439.
15. Yu Wang, Yeqiang Deng, Yilu Liu, Lu Qu, Xishan Wen et al. Influence of blade rotation on the lightning stroke charac teristic of a wind turbine. Wind Energy. 2019. Vol. 22, Iss. 8. pp. 1071–1085.
16. Kuznetsov N. M., Konovalova O. E. Alternative power engineering in Russia’s Arctic. Promyshlennaya energetika. 2019. No. 10. pp. 40–46.
17. Muratori M., Jadun P., Bush B., Bielen D., Vimmerstedt L. et al. Future integrated mobility-energy systems: A modeling perspective. Renewable and Sustainable Energy Reviews. 2020. Vol. 119. 109541. DOI: 10.1016/j.rser.2019.109541
18. D’Arco S., Suul J. A., Fosso O. B. A Virtual Synchronous Machine implementation for distributed control of power co nverters in SmartGrids. Electric Power Systems Research. 2015. Vol. 122. pp. 180–197.
19. Puttkammer K., Vornkahl P. Integrated production planning – thinking energy and resource efficiency one step ahead. Chernye Metally. 2017. No. 2. pp. 56–60.
20. Shpiganovich A. A., Fedorov O. V., Pushnitsa K. A., Churkina E. V. Operating features of electric power supply systems at the iron and steel works. Chernye Metally. 2017. No. 5. pp. 56–61.
21. Adam H. Through electricity to sustainable development? Chernye Metally. 2019. No. 2. pp. 61–65.