Developing a MILP Method for Distribution System Reconfiguration After Natural Disasters

Developing a MILP Method for Distribution System Reconfiguration After Natural Disasters

High consequence low probability (HCLP) events cause many interruptions in distribution systems. Reconfiguration is an efficient tool in distribution system restoration after natural disasters. This paper presents a novel method for distribution system reconfiguration taking into account loads restoration by means of switches and distribution generations (DGs) scheduling. In this method, configurations that contain more grid-connected buses, less islands and serve maximum amount of loads are preferred. To reach this goal, summation of restored load, number of grid connected bus and number of closed lines are maximized. The associated optimization problem is modeled as a mixed-integer linear programming (MILP) model; furthermore, presented framework is studied on IEEE 34-bus test network to verify its efficiency.