Software development to assess the economic efficiency of operation and the consequences of upgrading the equipment of electric grid companies

The purpose of this work is to develop an automated system for making decisions on energy quality management, as well as diagnostics and management of electrical equipment. The creation of an intelligent automated system for managing the technical assets of power enterprises in the current conditions of high wear and tear of electric grid equipment, taking into account the changed market conditions, is a very urgent task. The system is aimed at solving the problem of optimization of the company’s network upgrade strategy, which at the current moment is quite acute for the owners of electric grid companies due to the high degree of equipment wear and significant losses of electricity in the medium and low voltage networks during its transmission. The solution of this scientific and technical task will significantly reduce the company’s financial costs when upgrading the power grid equipment, make the renewal process of fixed assets more transparent and financially efficient. The effect from the implementation of this task will allow us to obtain sufficiently reliable information for the management of technical assets on the basis of any aggregated accessible information, regardless of the type of information, and to optimize financial losses in the modernization of power grid equipment, and as a result, to increase the company’s flexibility in tariff formation effect for energy-intensive business in general. The theoretical research in the field of parameters of quality of electric energy and reliability of the equipment, in particular dependence of productivity and safety of the equipment, including electric equipment, on parameters of quality of the electric power, are carried out. The methods of their calculation are shown, and a list of parameters is given that will be used to create data sets in the software product, through which it will be possible to monitor the equipment and make a decision on carrying out repair work.