SOURCE-LINKED INTELLIGENCE

Artificial Intelligence-Driven Coordination Algorithms for Adaptive Fault Protection in Hybrid AC/DC Networks: Enhancing Grid Resilience and Blackout Prevention

CORDIS · observation · Publication date unknown

Artificial Intelligence-Driven Coordination Algorithms for Adaptive Fault Protection in Hybrid AC/DC Networks: Enhancing Grid Resilience and Blackout Prevention The rapid integration of renewable energy, electric vehicles, and inverter-based resources is reshaping power systems into hybrid AC/DC networks. While these grids are central to Europe’s net-zero ambitions, their protection is increasingly uncertain. Conventional schemes rely on strong fault currents and synchronous machines, which are no longer dominant. As a result, today’s protection methods often fail to detect, classify, or locate faults accurately, exposing networks to instability and large-scale outages. This research proposes an AI-driven adaptive fault protection framework tailored for hybrid integrated AC/DC networks. The research will combine advanced Physics-Informed Neural Networks (PINNs) with mathematically derive

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recordType

award

status

SIGNED

region

EU

value

276187.92

unit

EUR