A Multiperiod Optimization-Based Metric of Grid Resilience

In this work, we present a multiperiod-optimization-based metric for grid resilience to a given contingency. This metric is computed from the solution of a multi-period optimal power flow problem and, as a byproduct, precomputes the optimal emergency generator response. Through numerical experiments we show that this metric improves with increased ramping capacity. With our StructJuMP/PIPS-NLP modeling and solver stack we demonstrate that, for networks up to 9241 buses this metric is computable in a time consistent with planning analyses, and for the 118 bus case, in a time compatible with a real time computation of optimal emergency generator response.