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.
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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