Optimizing the Price Category of Electric Power Consumption by an Industrial Enterprise

Abstract

The purpose of the study is to construct mathematical models of electric energy and power consumption for six price categories in an organizational and technical system and to develop an algorithm based on these models that will enable the consumer to select the most profitable cost of electricity. The system, which was regarded as an integral complex of interacting objects, was analyzed from the viewpoint of a systematic approach. Scientific data were analyzed proceeding from the principles of system consistency, structuring, integrity, hierarchy and multiplicity. A structural-and-functional approach, based on which elements (subsystems), and relationships between them can be considered within a single organizational and technical system, was used as the research method. The current state was studied; the consumption of electricity by an organizational and technical system was predicted based on the source data; the mathematical models of electric energy and power were constructed for six price categories, and a price category selection algorithm was developed, using which the most financially profitable price category can be found. An independent experimental verification of the price category selection algorithm was carried out, which has shown that owing to its application, the cost item “payment of consumed electric energy” for the facility has decreased by 9%. The experiment has shown that the developed mathematical models can be applied in practice, and that the use of the electric energy price category selection algorithm allows economic gains to be obtained. The accomplished study has yielded results based on which the consumers located in the Russian Federation territory can select the most financially profitable price category and cost of electric energy.