OPERATING MODES OF A HYBRID AUTONOMOUS ELECTRIC POWER SYSTEM WITH COMBINED ENERGY SOURCES
The paper analyzes the operating modes of an autonomous hybrid power supply system based on the combined use of wind energy with a permanent magnet synchronous generator, a diesel generator set, and a storage system with bat-teries. The relevance of implementing such systems for private households w...
Збережено в:
| Дата: | 2026 |
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| Автори: | , , , , |
| Формат: | Стаття |
| Мова: | Українська |
| Опубліковано: |
Institute of Renewable Energy National Academy of Sciences of Ukraine
2026
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| Теми: | |
| Онлайн доступ: | https://ve.org.ua/index.php/journal/article/view/619 |
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| Назва журналу: | Vidnovluvana energetika |
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Репозитарії
Vidnovluvana energetika| Резюме: | The paper analyzes the operating modes of an autonomous hybrid power supply system based on the combined use of wind energy with a permanent magnet synchronous generator, a diesel generator set, and a storage system with bat-teries. The relevance of implementing such systems for private households with high peak loads (up to 20 kW) in the absence of centralized power supply is substantiated. A numerical simulation model has been developed that allows assessing the dynamics of power distribution between sources depending on wind speed and battery charge status. Power distribution dependencies have been constructed at different wind speeds and different battery charge levels. It is shown that the use of a hybrid inverter with MPPT in combination with LiFePO4 batteries allows minimizing the operating time of the fuel generator, using it only when the critical battery discharge threshold (less than 20%) is reached. It has been established that the operation of the diesel generator in the mode of forced battery charging at a power of 70–80% of the nominal provides a significant reduction in specific fuel consumption and an extension of the engine's service life. The introduction of a wind generator with intelligent charge control allows achieving fuel and lubricant savings of 45–65% compared to traditional power supply schemes. The proposed model can be used to de-sign highly efficient autonomous power supply systems.  |
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| DOI: | 10.36296/1819-8058.2026.2(85).17-33 |