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This paper proposes a novel method to co-optimize distribution systemoperation and repair crew routing for outage restoration after extreme weatherevents. A two-stage stochastic mixed integer linear program is developed. Thefirst stage is to dispatch the repair crews to the damaged components. Thesecond stage is distribution system restoration using distributed generators,and reconfiguration. We consider demand uncertainty in terms of a truncatednormal forecast error distribution, and model the uncertainty of the repairtime using a lognormal distribution. A new decomposition approach, combinedwith the Progressive Hedging algorithm, is developed for solving large-scaleoutage management problems in an effective and timely manner. The proposedmethod is validated on modified IEEE 34- and 8500-bus distribution testsystems.

Optimizing Service Restoration in Distribution Systems with Uncertain Repair Time and Demand