An IGDT-based robust model for service restoration of distribution networks by scheduling of multiple resources

Abstract

The service restoration (SR) problem has always been one of the most challenging issues in the operation of urban electrical distribution grids. In this paper, a new method is proposed to solve the SR problem. Multiple resource including mobile power sources (MPSs), local dispatchable generators and repair crews (RCs) are included in the proposed model and were scheduled simultaneously. In order to guarantee the effectiveness of the solutions, the SR problem discussed in this paper was formulated and addressed as a mixed-integer quadratically constrained programming (MIQCP) problem. Also, to handling the uncertainty related to load demand and transportation network traffic, we used an Information gap decision theory (IGDT) based model. Finally, the proposed method was tested on a 33-bus test network and its efficiency was proved.