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ON TACTICS OF DEVELOPING ARCHITECTURE OF THE GENERALIZED ALGORITHM OF ENERGY-ORIENTED POWER CONSUMPTION CONTROL AT IRON ORE UNDERGROUND MINING COMPANIES
Author(s) -
І.О. Sinchuk,
Andrey Kupin,
Volodymyr Baranovskyi
Publication year - 2021
Publication title -
elektromehanìčnì ì energozberìgaûčì sistemi
Language(s) - English
Resource type - Journals
eISSN - 2074-9937
pISSN - 2072-2052
DOI - 10.30929/2072-2052.2021.1.53.51-63
Subject(s) - tariff , energy consumption , consumption (sociology) , power (physics) , function (biology) , control (management) , computer science , production (economics) , process (computing) , mathematical optimization , operations research , engineering , business , economics , mathematics , microeconomics , social science , physics , quantum mechanics , evolutionary biology , artificial intelligence , sociology , international trade , electrical engineering , biology , operating system
Purpose. The article substantiates and confirms the thesis about the need for energy-oriented power consumption control levels in power complexes: the system of power supply at iron ore underground mining enterprises on the basis of experiment data analysis. Methodology. It is estimated that along with the current positive trend suitable for developing architecture of power consumption control levels when a limited number of energy-intensive enterprises consume about 80 % of the total power produced, their functioning modes in day hours vary. Analysis of varied realtime modes of power consumption in hours indicates absence of enterprises’ control over this process. Results. The suggested methods enable forecasting efficiency of power consumption control in hours in any variant of time-of-day tariff integration. In non-standard and changeable conditions of technological parameters in mining production, on the basis of the results of stochastic optimization analysis, it is proven that even when applying a small number of iterations N = 10, it is possible to improve the initial solution by over 60 % (the initial value of the objective function is I* = 27.7 and the final value on the last iteration is I* = 10.7). There are determined required vectors to specify a connection of the time-of-day tariff of ore mining (Р*) and the corresponding power consumption (Е*) which corresponds to the suboptimal value of the objective function (I*). The obtained results can be applied to developing recommendations for a more efficient planning of an enterprise’s performance. Practical value. The suggested algorithm implemented in power consumption control systems enables receiving a final result with any quality required for the level. If the quality of the obtained results needs improving, the number of iterations is to be increased by two or three orders of magnitude.

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