Advancements in Intelligent Anti-Islanding Schemes for Microgrids with High Renewable Energy Penetration

Advanced anti-islanding schemes for microgrids with significant renewable energy integration focus on intelligent strategies to ensure stability and reliability in isolated grid conditions. High penetration of renewable energy sources in microgrids challenges traditional anti-islanding schemes, necessitating advanced, intelligent solutions to prevent unintended islanding and ensure system stability and safety. The review explores intelligent anti-islanding schemes tailored for microgrids with high renewable energy penetration, aiming to enhance system stability, reliability, and safety in isolated grid conditions. Microgrids with high renewable energy penetration are essential for achieving sustainability and reducing carbon footprints. However, the inherent variability in renewable energy sources, such as wind and solar, can lead to instability and potential islanding, where parts of the grid operate independently, compromising safety and reliability. Advanced intelligent anti-islanding techniques are required to detect and prevent such issues effectively. This study examines and compares various anti-islanding methods, assessing their strengths and limitations. It also explores future trends and research directions to enhance microgrid resilience, aiming for more robust and adaptive protection mechanisms in the face of increasing renewable integration. Findings show that intelligent anti-islanding schemes, using advanced algorithms and real-time monitoring, effectively improve microgrid stability and reliability, addressing challenges posed by high renewable energy integration and variability. Future scope includes developing adaptive anti-islanding techniques leveraging AI and machine learning, integrating real-time data for dynamic protection, and enhancing the resilience of microgrids amidst growing renewable energy penetration.