Purpose. The purpose of the work is to study the system corporate features of electric-power consumption systems, the formation of applied scientific and methodological support, as well as economic and mathematical modeling tools to analyse the cost characteristics of the electric-power consumption.Methods. The research is based on the use of laws, patterns and categorical set. In the course of scientific research, the general scientific methods were used (comparison, generalization, analogue method, structural analysis and synthesis), methods of logical-theoretical analysis and special economic-mathematical methods. The official documents that reflect and regulate certain aspects of the power consumption system in the acquisition, processing and presentation of information were the normative basis of research. The materials of scientific conferences and seminars, the resources of the global Internet information system, the information from the State Statistics Service of Ukraine were used as information sources. The theoretical basis of research is confirmed by scientific works of domestic and foreign researchers in the field of power supply in a transition economy. The complex of regression and index methods, as well as models of electric-power consumption analysis are used to determine the transformational changes in the components of electric-power consumption.Findings. The parameters have been analysed of electric-power consumption in iron-ore enterprises of the Kryvyi Rih region. The process has been investigated of forming a system of models for solving the problem of the cost characteristics optimization of electric-power consumption. The system corporate features have been determined of the power consumption systems in iron-ore enterprises of the Kryvyi Rih region. The tools set has been formed of economic and mathematical modelling in order to analyse and assess the cost indicators of power consumption systems. The harmonization of modelling methods made it possible to determine the cost characteristics and prove the rationality of using the models, calculate the effective resources assignment, and make recommendations in accordance with rational management decisions on the formation of electric-power consumption.Originality. An innovative integrated approach to the formation of corporate models of electric-power supply systems has been proposed, which uses the index methodology in combination with the least modules methods. This approach allows to optimize electric-power costs and ensure rational management of electric-power consumption.Practical implications. The formation of corporate models is the basis for further research and the construction of multifactorial regression models, as well as models to predict the electric-power consumption. Practical experience in the use of the proposed methodology has proven its effectiveness in making management decisions to ensure optimal electric-power consumption characteristics.

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Purpose is to develop a functioning scheme of ACS for energy flows in terms of invariability of electric power consumption as well as inversion of energy flows of mining enterprises in the current time of day to decrease power cost segment in the context of еру prime cost of iron ore raw materials (IORM) extraction. Methods. Data of a passive experiment have been applied to obtain operational statistics of iron-ore mines. Then fuzzy logic has been applied to identify linguistic terms on the required technological parameters; and procedures of fuzzification, logical derivation and defuzzification have been performed. Principles to form basis of fuzzy rules have been determined to enable decision-making automation using Mamdani method. As a result, fuzzy controllers have been synthesized; and their performance has been modeled in the environment of a software package MatLab. The basic modeling results have been visualized using MS Excel. Findings. System of control criteria system has been substantiated; and vectors of an object condition vector, the basic information parameters, controlling influence and disturbances have been defined. Approaches to optimize power consumption process basing upon еру minimax functionals, use of restriction system, and calculation of rational settings have been analyzed. Algorithms of the automated control have been developed using several strategies and criteria. Implementation principles of the algorithm have been proposed on the basis of fuzzy logic use. Originality. Efficiency of fuzzy systems to control energy flows of mines has been proved under the conditions of one-and multi-channel regulating process. The basic analytical indices have been obtained supporting unambiguously both sufficient quality and efficiency of the automated control systems to be used for underground mining of iron ore. Practical implications. Structural patterns and means of practical implementation of fuzzy controllers have been proposed for industrial environment application. Calculations have proved that the approaches will help implement the automated control of energy consumption by a mine in real time, and optimize expenditures connected with the consumed electric energy.

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Purpose is to develop a unified mathematical model to assess energy efficiency of a water inflow-drainage process as the real variant of stochastic method for water pumping from underground workings of iron-ore mines. Methods. The research process was based upon the methods of probability theory as well as stochastic modelling methods. The stochastic function integration has been reduced to summation of its ordinates and further transition to a proper boundary. Findings. A mathematical model of a water inflow-drainage system as a stochastic process has been developed in terms of input parameters of a standard operating iron-ore mine. The abovementioned has made it possible to assess realistically, substantiate, and obtain possibilities for a specific production facility as well as for generalization of the results involving determination of stochastic characteristics of drainage process. Originality. For the first time, a mathematical model of drainage from underground levels of iron-ore mines has been developed as a stochastic process. The process characteristics have been identified relying upon randomness of a water pumping technique. In contrast to the available settings, the new model parameters characterize their dispersion. Possibility to obtain complete characteristics of energy consumption has been obtained: for drainage; for water accumulation volume in underground water collectors; for water pumping from the specified mine depths over the specific period as random processes. A number of drainage features have been analyzed and differentiated being determined with the help of nor-mal law of water accumulation velocity in the underground water collectors in iron-ore mines. Practical implications. In terms of operating iron-ore mine, a generalized drainage mathematical model has been developed as a stochastic process using statistical data concerning water accumulation velocity in the underground water collectors. It has been proved that if the ordinates of water accumulation velocity in the underground water collectors obey the normal distribution law then it is expedient to characterize drainage as a stochastic process. The developed methods, studying drain-age as a stochastic process, help expand the research boundaries involving other auxiliary operations performed during underground mining of iron ore raw materials.

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