Smart Contingency Analysis Neural Network for in-depth Power Grid Vulnerability Analyses

Typical contingency analysis for a power utility is limited to n-1 due to computational complexity and cost. A machine learning framework and resilience-chaos plots are leveraged to reduce computational expense required to discover, with 90% accuracy, n-2 contingencies by 50%.