RESILIENCE ENHANCEMENT OF DISTRIBUTION SYSTEMS WITH HIGH PENETRATION OF INVERTER-BASED RESOURCES

Unpredictable natural disasters, increasing penetration of inverter-based resources (IBRs), and difficulties in modeling the large-scale IBR-intensive system challenge the operational resilience of modern distribution systems. This study addresses these issues from three perspectives, i.e., IBR-intensive microgrid (MG) configurations, control and stabilization of MGs, and modeling methods of IBR-intensive electric power systems. Moreover, based on these findings, three methodologies are proposed to enhance distribution system resilience: 1) developing dynamic MG architectures and control strategies to fulfill interconnection and collaboration among multiple MGs and system reconfigurations as requested by system operators; 2) designing small-signal models with region-based stability analysis (RBSA) to ensure the stability and reliability of hybrid AC and DC MG operations while improving the computational efficiency and the accuracy; 3) introducing black/gray-box modeling methods using neural networks (NNs) to reduce computation burdens while maintaining accuracy in estimating IBR-intensive system behavior. Finally, case studies demonstrate the effectiveness of the proposed research topics.