Formation of the model of an intellectual software analytical complex in the electric power industry

The paper considers the model of an intelligent software analytical complex that allows electric power industry organizations to remotely apply electricity metering systems designed to take consumer's meter readings online, register deviations, and determine the quality of electricity. The software analytical complex is presented in the form of a set of models: a model for ensuring the sustainability of the quality of electric power, which makes it possible to create rules for the information environment and a unified data repository to systematize the processes of collecting, processing and transmitting data, simplify the search and increase the speed of access to data; a model of the product knowledge base, designed to search for solutions in the process under consideration and evaluate the search results; a dynamic graph of deviations of the Descartes square, which makes it possible to manage electrical power parameters in order to increase the efficiency of the organization and improve the process of managing the technical strategy of the energy system; and ontological and network models of electric energy quality indicators. The diagrams of the software analytical complex algorithm as well as the developed neural network node designed to analyze deviations for the presence or absence of malfunctions in the hardware operation are presented. The application of the presented models in the software analytical complex will help to promptly identify emerging deviations and analyze them.