Scenario-Based Analysis for Disaster-Resilient Restoration of Distribution Systems

After a severe disaster, the impacted distribution systems are generally in a state of chaos, which makes restoration of electricity service extremely hard. To facilitate the development of systematic and fast restoration schemes, this paper provides a scenario-based analysis of post-disaster distribution systems. The properties of post-disaster power systems are investigated in order to classify various types of post-disaster cases into a limited number of scenarios with some pre-defined features. A mixed integer nonlinear programming (MINLP) model is proposed to determine the optimal locations and optimal size of mobile diesel generators in distribution systems so as to supply critical loads right after the natural disasters. Test results on the IEEE 37-node test feeder demonstrated the effectiveness of proposed optimization model.