Engineering, Energy, Transport AIC

Mykola STADNIK – Doctor of Technical Sciences, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3 Sonyachna St., Vinnytsia, 21008, Ukraine, email: stadnik1948@gmail.com, https://orcid.org/0000-0003-3895-9607).

Andrii SHTUTS – Candidate of Technical Sciences, Senior Lecturer., Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3 Sonyachna St., Vinnytsia, 21008, Ukraine, email: shtuts1989@gmail.com, https://orcid.org/0000-0002-4242-2100).

Mykola KOLISNYK – Assistant, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3 Sonyachna St., Vinnytsia, 21008, Ukraine, email: kolisnik30@gmail.com, https://orcid.org/0000-0001-5502-6556).

Nazar HRYHORENKO – Recipient of the Third Educational and Scientific Level of the specialty Industrial Mechanical Engineering Vinnitsa National Agrarian University (3 Sonyachna St., Vinnytsia, 21008, Ukraine, email: 34grigorenko34@gmail.com, https://orcid.org/0009-0000-0694-5740).

Intelligent systems (Smart Systems) are an important element of modern electric power industry, which allows to increase the reliability, efficiency and stability of the functioning of electric networks. The article considers the implementation of intelligent technologies for monitoring, management and optimization of the operation of energy systems. The main attention is paid to the use of artificial intelligence (AI), Internet of Things (IoT) and automated control systems to solve the problems of accident prediction, adaptive management of energy flows and integration of renewable energy sources (RES).
The results of the study confirm the effectiveness of intelligent systems in real conditions. In particular, the use of IoT sensors to monitor the condition of equipment allowed to significantly reduce the number of emergency situations by predicting possible failures. Artificial intelligence algorithms provided adaptive management of energy flows, which allowed to reduce energy losses by 15% and ensure the stability of the networks even under variable load conditions. The integration of renewable energy sources, such as solar and wind power plants, became possible thanks to the implementation of intelligent algorithms that take into account the variability of generation parameters and ensure a balance between energy production and consumption.
The article also discusses mathematical modeling methods and MATLAB/Simulink software to assess the impact of intelligent systems on the operation of power grids. The results demonstrate that the implementation of intelligent systems allows not only to increase the reliability of power systems, but also to reduce maintenance costs and optimize resource use.
The study showed that the key advantages of intelligent systems are their ability to adapt to unstable energy markets, rapid response to emergencies, and integration of new technologies. The article presents prospects for further research, including the development of more complex algorithms for integrating renewable energy sources and improving distributed energy management systems.
Thus, the results of the work confirm that intelligent systems are a powerful tool for the modernization of power grids, contribute to the sustainable development of the energy sector, and ensure the efficient use of energy resources for the integration of renewable energy sources.

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