Е-Публикации
Технически университет - София

Abstract: Micro and nanogrids are emerging as a key part of the transition to decentralized and sustainable energy systems. In this context, DC-AC converters play a critical role, requiring precise and adaptive control. This paper explores innovative methods for inverter control, including model-predictive control, artificial intelligence, droop algorithms, and decentralized strategies. Simulation results are presented that compare the efficiency, stability, and resilience of different approaches. The results confirm the significant advantage of intelligent and cooperative control methods in modern energy applications.

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