A temporal-spatial natural disaster model for power system resilience improvement using DG and lines hardening

As natural disasters seem to become more and more frequent in some parts of the world, power system resilience is a growing concern, especially due to the economic consequences of the induced blackouts. In this paper, we use a temporal-spatial model to describe natural disasters. Based on fragility curves, we use a Monte Carlo method to estimate the destructive dynamic of such disasters, and simulate a hurricane occuring in the IEEE 37-bus network. We then propose an optimization method to find the most suitable nodes to integrate distributed generators (DG). With the resulting DG additions, we select the lines to be hardened to further improve system resilience.