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Seasonal hurricanes and ice storms often cause significant damage to the power system infrastructure in the United States. These disasters can cause power outages that last several days or even weeks in extreme cases. This talk will introduce a comprehensive disaster preparation and recovery algorithm that can be used to provide decision support to policy makers and mitigate blackout effects. We formulate the power restoration planning and recovery problem as a stochastic optimization problem which takes into consideration the physical properties of the power network and the vehicle routing of repair crews. The talk will be organized into four sections, formulation of the recovery problem, linear approximations of the power systems, the preparation phase, and recovery phase. These sections will span topics including, power system modeling, stochastic programming, hybrid optimization, mixed integer programing, constraint programming, and local search. No previous knowledge of these topics is required. Host: Misha Chertkov, chertkov@lanl.gov, 665-8119 |