Critical Node Identification, Vulnerability Modeling, and Topology Optimization for the Electric Grid

Brian Pierre Factsheet

Project Overview:

This project will develop large-scale models and algorithms to identify electric grid critical nodes and their vulnerability levels to severe man-made and natural threats using advanced modeling techniques and an innovative dynamic cascading failure model. A multi-stage stochastic topology optimization model, informed by node criticality, will optimize resilience planning and recovery through grid hardening and grid topology investment decisions, preemptive topology actions, and topology management during the restoration process.

Project Partners: University of Texas at Austin