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Information × Registration Number 0224U032279, 0123U104214 , R & D reports Title Modern methods of research and forecasting of smart electrical grids popup.stage_title Сучасні методи дослідження та прогнозування режимів інтелектуальних електричних мереж Head Baranenko Tetiana K., Кандидат технічних наук Registration Date 30-08-2024 Organization State Higher Educational Institution "Azov State Technical University" popup.description2 The object of research is processes in power grids with distributed generation. The purpose of the study is to investigate the impact of smart grid parameters on the operating modes and forecast of electricity generation and consumption. Research methods - matrix method of equivalization of electric circuits; methods of simulation modeling and experimental research. The paper considers the problem of studying the technical condition of high-voltage cables in terms of detecting insulation defects. A study of distributed electrical networks using neural networks and machine learning was performed. The influence of electrical network parameters on the modeling of sources of distortion of current and voltage waveforms is studied. The analysis of pulse width modulation methods in the development of a control system for an autonomous voltage inverter is carried out. The influence of the quality of induction motor repair on the service life is evaluated.  Product Description popup.authors Baranenko Tetiana K. Liubartsev Vadym V. Liubartseva Yuliia I. Nesterovych Viktor V. Saienko Yurii L. Savenko Olha S. Skosyrev Victor H. popup.nrat_date 2024-10-01 Close