Abstract:
High impact low probability events (HILP) such as natural hazards significantly affect the infrastructure of power distribution systems (PDS) leading to considerable social and economic loss. This paper presents a novel methodology for optimizing resource and restoration scheduling in PDS after a natural hazards focusing on reducing operational costs during PDS recovery. The proposed methodology includes a mixed integer linear programming optimization problem in which a DC optimal power flow model is solved. The proposed methodology was evaluated in the IEEE 34-node test feeder and in a real-world case in two PDS: the San Rafael and Salcedo feeders in Cotopaxi Ecuador. The results show the effectiveness of the proposed methodology compared with traditional recovery criteria.
