2024
DOI: 10.3390/en17235825
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A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters

Saad Belgana,
Handy Fortin-Blanchette

Abstract: Managing parallel−connected single−phase distributed generators in low−voltage microgrids is challenging due to the volatility of renewable energy sources and fluctuating load demands. Traditional droop control struggles to maintain precise power sharing under dynamic conditions and varying line impedances, leading to inefficiency. This paper presents a novel adaptive droop control strategy integrating artificial neural networks and particle swarm optimization to enhance microgrid performance. Unlike prior met… Show more

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