Model studies to identify input parameters of an algorithm controlling electric supply/consumption process by underground iron ore enterprises

Oleh Sinchuk¹, Ryszard Strzelecki², Tetiana Beridze¹, Ihor Peresunko¹, Vladyslav Baranovskyi¹, Danyil Kobeliatskyi¹, Volodymyr Zapalskyi³

¹Kryvyi Rih National University, Kryvyi Rih, Ukraine

²Gdańsk University of Technology, Gdańsk, Poland

³Separate Structural Subdivision Mykolayiv Building Professional College of Kyiv National University of Construction and Architecture, Mykolaiv, Ukraine

Min. miner. depos. 2023, 17(3):93-101

https://doi.org/10.33271/mining17.03.093

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      ABSTRACT

      Purpose is the development of the research format of a mathematical model to select and assess input parameters of an algorithm controlling distribution of electric energy flows in the monitoring structure of electricity supply/consumption by using equipment of mining enterprises engaged in underground iron ore raw materials extraction.

      Methods. The analytical research involved a theory of random processes adapted to the real conditions. For the purpose, results of experimental measurements have been applied obtained under the conditions of active iron ore enterprises using underground procedures of the raw materials mining. Methods of random functions (i.e. elements of correlation theory) have helped identify the basic input and output parameters characterizing rather completely electric supply consumption as a stochastic process to develop a control algorithm for the process.

      Findings. A mathematical model of an electric supply/consumption complex as a stochastic process has been developed to assess its features as well as its levels of influence on the economic operational indices of electric power system of under-ground mining enterprises. Formation of the algorithm to control distribution of electric power flows among consumers of the analyzed types of iron ore enterprises took into consideration stochastic nature of the mentioned complex activity.

      Originality. The procedure of electric supply/consumption by underground iron ore enterprises has been analyzed in the format of process of a stochastic process of their operation. For the first time, the synthesized mathematical model has been built; both average and disperse stochastic characteristics of electric consumption capacity have been identified; average period of electric energy consumption as a stationary random function during the specified time has been determined; and average number of electric consumption peaks for the interval has been defined as well as average duration of their surges. Analysis of the electric supply/consumption process as a stochastic process has helped solve a problem of the peak influence on the modes of electric energy consumption by receivers of the enterprises, i.e. the random function crossing the specified electric consumption level.

      Practical implications. According to the available computing formats, a calculation procedure of the operation parameters of electric supply/consumption is of insufficient accuracy since average values are applied and stochastic nature of the process is ignored, which is typical for the analyzed mining enterprises. The abovementioned restricts the possibility to develop adequate system to control the electric power process in terms of the types of mining enterprises and specificity of their operational technology. The developed methods of electric supply/consumption functioning dynamics as a stochastic process help expand its use while forming and making efficient managerial decisions in the context of the analyzed process.

      Keywords: model, electric supply, electric consumption, stochastic nature, assessment, random process, mining enterprise

      REFERENCES

1. Sinchuk, I.O. (2019). Metodolohichni zasady otsiniuvannia elektroefektyvnosti zalizorudnykh pidpryiemstv. Kremenchuh, Ukraina: Shcherbatykh, 284 s.
2. Kaplenko, Yu., & Yanov, E. (2006). Vplyv hlybyny hirnychykh robit na tekhniko-ekonomichni pokaznyky pidzemnoho vydobutku rudy. Visnyk KNU, 5(15), 25-28.
3. Babets, Ye.S., Melnykova, I.Ye., Hrebeniuk, S.Ya., & Lobov, S.P. (2015). Doslidzhennia tekhniko-ekonomichnykh pokaznykiv hirny-chodobuvnykh pidpryiemstv Ukrainy ta efektyvnosti yikh roboty v umovakh zminnoi koniuktury svitovoho rynku zalizorudnoi syrovyny. Kryvyi Rih, Ukraina: R.A. Kozlov, 391 s.
4. Stupnik, M., Fedko, M., Pysmennyi, S., Kolosov, V., Kurnosov, S., & Malanchuk, Z. (2018). Problemy rozkryttia ta pidhotovky rudnykh rodovyshch na hlybokykh horyzontakh shakht Kryvbasu. Visnyk KNU, (47), 3-8.http://doi.org/10.31721/2306-5451-2018-1-47-3-8
5. Riabets, V., Dolhyi, A., & Tarasiutin, V. (2012). Pidhotovka ta vidpratsiuvannia pryrodno-bahatykh zalizorudnykh pokladiv v umovakh hlybokykh horyzontiv. Stalyi Rozvytok Promyslovosti ta Suspilstva, 1-3.
6. Zakon Ukrainy “Pro rynok elektrychnoi enerhii”. (2017). Kyiv, Ukraina: Verhovna Rada Ukrainy. Retrieved from:https://zakon.rada.gov.ua/laws/show/2019-19#Text
7. Sinchuk, O., Sinchuk, I., Kozakevych, I., Fedotov, V., Serebrenikov, V., Lokhman, N., Beridze, T., Boiko, S., Pyrozhenko, A., & Yalova, A. (2018). Development of the functional model to control the levels of electricity consumption by underground iron-ore enterprises. Eastern-European Journal of Enterprise Technologies, 6(3(96)), 20-27https://doi.org/10.15587/1729-4061.2018.148606
8. Prakhovnik, A.V., Rozen, V.P., & Degtyarev, V.V. (1985). Energosberegayushchie rezhimy elektrosnabzheniya gornodobyvayushchikh predpriyatiy. Moskva, Rossiya: Nerdra, 232 s.
9. Avilov-Karnaukhov, B.M. (1969). Elektroenergeticheskie rasschety dlya ugolnykh shakht. Moskva, Rossiya: Nerdra, 102 s.
10. Veits, V.I. (1958). Do pytannia normuvannia spozhyvannia elektroenerhii promyslovymy pidpryiemstvamy. Elektryka, (6), 14-18.
11. Razumnyi, Yu.T., & Rukhlov, A.V. (2012). Aspekty vyrishennia problemy nerivnomirnosti spozhyvannia elektrychnoi enerhii. Dnipro, Ukraina: Natsionalnyi hirnychyi universytet, 95 s.
12. Yershov, Yu.I., & Rohov, Ye.I. (1971). Analiz ta shliakhy vdoskonalennia skhem elektropostachannia hirnychykh pidpryiemstv. Pratsi YHD AN KazSSB, (47), 75-85.
13. Poltava, L.I. (1948). Shliakhy ratsionalizatsii pidzemnoho elektropostachannia zalizorudnykh shakht Kryvbasu. Zbirnyk Naukovykh Prats KNU, (2), 3-10.
14. Zhyvov, L.H., & Poltava, L.I. (1949). Vyznachennia potuzhnosti shtreko-vykh pidstantsii zalizorudnykh shakht. Hirnychyi Zhurnal, (6), 18-22.
15. Kalinichenko, V.F. (1980). Vyznachennia navantazhennia na shynakh holovnoi pidzemnoi shakhty. Biuleten NTI.
16. Klymenko, N.A. (1977). Pidvyshchennia yakosti napruhy u systemakh elektropostachannia shakht. Moskva, Rossiya: Nadra, 160 s.
17. Ashok, S. (2006). Peak-load management in steel plants. Applied Energy, (83), 413-424.https://doi.org/10.1016/j.apenergy.2005.05.002
18. Middelberg, A., Zhang, J., & Xia X. (2009). An optimal control model for load shifting – with application in the energy management of a colliery. Applied Energy, (86), 1266-1273. https://doi.org/10.1016/j.apenergy.2008.09.011
19. Patterson, S., Kozan, E., & Hyland, P. (2015). An integrated model of an open-pit coal mine: improving energy efficiency decisions. International Journal of Production Research, 54(14), 4213-4227. https://doi.org/10.1080/00207543.2015.1117150
20. Wu, T., Shieh, S., Jang, S., & Liu, C. (2005). Optimal energy management integration for a petrochemical plant under considerations of un-certain power supplies. IEEE Transactions on Power Systems, 20(3), 1431-1439. https://doi.org/10.1109/TPWRS.2005.852063
21. Brand, H., Vosloo, J., & Mathews, E. (2015). Automated energy efficiency project identification in the gold mining industry. Proceedings of the Conference on the Industrial and Commercial Use of Energy, 17-22. https://doi.org/10.1109/ICUE.2015.7280241
22. Gottwalt, S., Ketter, W., Block, C., Collins, J., & Weinhardt, C. (2011). Demand side management – A simulation of household behavior under variable prices. Energy Policy, 39(12), 8163-8174. https://doi.org/10.1016/j.enpol.2011.10.016
23. Kallel, R., Boukettaya, G., & Krichen, L. (2015). Demand side management of household appliances in stand-alone hybrid photovoltaic system. Renewable Energy, (81), 123-135. https://doi.org/10.1016/j.renene.2015.03.024
24. Kinhekar, N., Padhy, N.P., & Gupta, H.O. (2015). Multiobjective demand side management solutions for utilities with peak demand deficit. International Journal of Electrical Power & Energy Systems, (55), 612-619. https://doi.org/10.1016/j.ijepes.2013.10.011
25. Zharkin, A.F., Denysiuk, S.P., & Popov, V.A. (2017). Systemy el-ektropostachannia z dzherelamy rozpodilenoi heneratsii. Kyiv, Ukraina: Vydavnytstvo naukova dumka NAN Ukrainy, 230 s.
26. Sinchuk, O., Budnikov, К., Sinchuk, I., Beridze, T., Filipp, Y., Dozorenko, O., & Strzelecki, R. (2021). Assessment of the factors influencing on the formation of energy-oriented modes of electric power consumption by water-drainage installations of the mines. Mining of Mineral Deposits, 15(4), 25-33.https://doi.org/10.33271/mining15.04.025
27. Pujades, E., Orban, P., Bodeux, S., Archambeau, P., Erpicum, S., & Dassargues, A. (2017). Underground pumped storage hydropower plants using open pit mines: How do groundwater exchanges influence the efficiency. Applied Energy, (190), 135-146.https://doi.org/10.1016/j.apenergy.2016.12.093
28. Beridze, T.M., & Lokhman, N.V. (2017). Forming of administrative model of strategic development of enterprise is on principles of statistical monitoring. Sciences of Europe, 1(17), 7-11.
29. Alvarez, H., Dominguez, G., Ordofiez, A., Menendez, J., Alvarez, R., & Loredo, J. (2021). Mine water for the generation and storage of renew-able energy: A hybrid hydro-wind system. International Journal of Environmental Research and Public Health, 18(13), 6758. https://doi.org/10.3390/ijerph18136758
30. Nel, W. (2015). The power of the worked-out mine: Conceptual designs for mine based pumped-storage hydroelectricity. Proceedings of the 23^rd International Symposium on Mine Planning and Equipment Selection: Smart Innovation in Mining, 723-736.