A.V. Vyngra1, S.G. Chernyi2, M.S. Moiseenko3, E.I. Leiman4, I.D. Lupkin5, I.S. Moiseev6

1,2,4 Kherson State Technical University (Henichesk, Russia)

3,5,6 Saint Petersburg State Marine Technical University (St. Petersburg, Russia)

1elag1995@gmail.com, 2sergiiblack@gmail.com, 4jekal2014@yandex.ru

The large-scale development of information technologies enables the integration of digital monitoring and control tools into traditional power supply systems, giving rise to intelligent power supply networks. At the same time, increasing the flexibility and autonomy of such networks through the integration of renewable energy sources is accompanied by a deterioration in power quality indicators, in particular the occurrence of voltage sags, which can reduce the overall system efficiency. One of the key conditions for improving the efficiency of intelligent power supply networks is the organization of continuous monitoring of power quality indicators and the incorporation of appropriate power quality monitoring devices into the network. To experimentally investigate the impact of renewable energy sources in an autonomous intelligent power supply network on power quality indicators and to substantiate practical recommendations for improving the efficiency of intelligent power supply networks through the implementation of power quality monitoring tools. Experimental studies show that integrating renewable energy sources increases the flexibility and autonomy of intelligent power supply networks, but leads to a deterioration in power quality due to voltage sags. It is established that ensuring continuous monitoring of power quality indicators is a basic prerequisite for improving the efficiency of intelligent power supply networks; the need to develop power supply networks incorporating power quality monitoring devices alongside the use of various types of power generation is substantiated. Practical recommendations are formulated and proposed to improve the efficiency of power supply networks based on intelligent power supply networks by implementing continuous power quality monitoring devices.

Vyngra A.V., Chernyi S.G., Moiseenko M.S., Leiman E.I., Lupkin I.D., Moiseev I.S. Experimental study of the efficiency of an autonomous intelligent power supply network with power quality monitoring. Electromagnetic waves and electronic systems. 2026. V. 31. № 2. P. 59−65. DOI: https://doi.org/10.18127/j15604128-202602-07 (in Russian)

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