Adaptive Protection Schemes for Renewable-Dominated Grid

The rapid integration of renewable energy sources such as solar and wind has transformed modern power grids into dynamic and decentralized networks. This evolution demands advanced protection schemes capable of adapting to fast-changing grid conditions while ensuring reliability and stability. Conventional protection schemes, however, face challenges due to the intermittency of renewables, bidirectional power flow, and frequent topology variations. Static relay configurations are often unable to respond effectively, resulting in mal-operations, false tripping, or delayed fault isolation. To address these challenges, this work proposes a Dynamic Protection Reconfiguration Framework (DPRF), which employs AI-driven adaptive relay coordination in combination with real-time grid topology recognition. By dynamically updating relay settings, DPRF accounts for fluctuating generation, varying fault levels, and evolving operational states. The proposed framework enables proactive fault isolation, minimized outage durations, and enhanced resilience against renewable variability. It ensures selective, reliable, and rapid protection even under highly stochastic operating conditions. Simulation results demonstrate that DPRF significantly improves fault detection speed, reduces unnecessary tripping, and enhances grid reliability in renewable-dominated environments. These findings highlight DPRF as a robust pathway toward sustainable smart grid protection solutions.