Resilience and Renewables: Intelligent Techniques for Integration and Strengthening Power Systems

As global energy systems advance toward sustainability and stability, incorporating renewable energy sources into power grids has become more common. However, the intermittent nature of renewable resources challenges power system resilience, needing novel methods to ensure grid stability and reliability. This chapter addresses the role of intelligent strategies in improving power system resilience through renewable energy sources. Intelligent approaches use modern algorithms, data analytics, and machine learning to provide proactive maintenance, dynamic forecasting, fault detection, and optimal resource allocation in power systems. These strategies help to strengthen and adapt the grid by forecasting equipment failures, maximizing renewable resource consumption, and detecting anomalies. Furthermore, intelligent techniques improve cybersecurity by detecting and mitigating possible threats, thereby protecting the integrity and dependability of power systems. This study gives insights into the synergistic relationship between intelligent approaches and renewable energy integration in enhancing power system resilience by conducting a thorough review of case studies and technology breakthroughs. Finally, the integration of intelligent techniques paves the way for sustainable and resilient energy infrastructure, ensuring power grid reliability and stability in the face of rising renewable energy penetration and growing grid issues.