Distribution Systems

This project develops a probabilistic resilience assessment framework for distribution and microgrid systems under hurricane-induced disruptions. ▣ Problem Extreme weather events cause widespread outages Need quantitative metrics for expected resilience and restoration feasibility Load and PV generation uncertainty must be included ▣ Approach Define a time-dependent expected resilience metric Use Point Estimate Method (PEM) to propagate uncertainty Compare results against Monte Carlo simulation Apply graph-theoretic restoration feasibility analysis ▣ Validation IEEE 37-node distribution system Comparison of conventional vs. active distribution systems Strong agreement with Monte Carlo, with far lower compute cost ▣ Publication IEEE MELECON (2018): https://ieeexplore.ieee.org/abstract/document/8379107

This project develops a general resilience evaluation framework for radial distribution feeders exposed to extreme events. ▣ Problem Distribution networks experience structural vulnerabilities during storms and high-impact low-probability events. ▣ Approach Model resilience through topology, damage states, and restoration pathways Use graph metrics to quantify accessibility and load-serving potential ▣ Publication IEEE ICEE (2018): https://ieeexplore.ieee.org/document/8472496