Hybrid control of power system stabilizer and virtual inertia for enhanced stability in renewable-dominated grids

This research provides an innovative hybrid control System that aims at stabilizing the grids of any coupled renewable power through the combination of Power System Stabilizer and Virtual Inertia, optimized using Harris Hawk Optimizer. It proposed the system with necessary hardware constituents like acoustic sound absorption devices, RF signal receivers, and power converter along with battery management. The results will show the stability control of power flow from renewable sources. A control system, with integration of deep learning algorithms and IoT modules for optimizing and monitoring in real-time. A PC-based interface is provided to ensure continuous monitoring and management of the system to react promptly to the fluctuations in the dynamics of the grid. The mechanical operations are managed by the L293D motor driver-driven DC motor system, hence enhancing the adaptability and reactivity of the system. This system promotes grid resilience and flexibility to fluctuating renewable energy circumstances via the use of sophisticated algorithms and control mechanisms, hence boosting overall sustainability. Real-time monitoring and optimization enhance grid resilience, making the System an efficient option for managing renewable energy sources within today’s interconnected power networks.