Hybrid energy storage systems with innovative artificial neural network-based controller for strengthening power system resilience

Key Points

• Innovative artificial neural networks enhance the controller functions, allowing better management of energy storage systems.
• The combined approach of different energy storage technologies significantly boosts power system resilience under stress.
• Integration of real-time data processing improves the response rates of controllers to varying energy demands, optimizing output.
• This approach may support wider implementation of renewable energy sources while ensuring grid stability through reliable storage solutions.