An Enhanced Controller for Improving Network Performance Amid Renewable Energy Integration Challenges

Integrating renewable energy sources (RESs) into traditional power grids provides a pathway to achieving sustainable and resilient energy systems. However, the inherent variability of RESs poses significant challenges to grid frequency stability, necessitating advanced frequency regulation solutions. This research proposes a novel Iλ(1+T)DμN controller in the auxiliary control loop to address these challenges and enhance grid stability. The Iλ(1+T)DμN controller represents a significant advancement in fractional-order control by incorporating multiple input signals and advanced feedback-feedforward strategies. Optimized using the advanced Fata Morgana Algorithm (FATA), the proposed controller effectively manages frequency deviations, achieving a 93% improvement in system stability over previous studies and a 71% performance boost compared to conventional controllers. Key results demonstrate reduced overshoot, faster stabilization, and minimized energy losses, ensuring robust operation even under high-RESs penetration and dynamic conditions. This work underscores the potential of combining fractional-order controllers with cutting-edge optimization techniques to address the evolving challenges of modern power systems.