Multi-objective optimization model for distribution systems restoration

This paper presents the development of a multi-objective optimization explicit model for distribution systems restoration. The main goal of the methodology is to determine the combination of maneuvers devices to be operated in order to maximize the number of customers with restored supply in the post-fault period and to minimize the time required by the process. The proposed formulation considers devices with arbitrary operation times, allowing the representation of automatic and manual maneuvers switches as well as, their effects on the duration of outages. In the proposed methodology, the supply restoration of distribution systems is formulated as a Mixed-Integer Linear Programming model. The proposed methodology was validated using a real distribution system. It is being implemented in one of the computational modules of the “SIRIs Platform” (Smart Grid Simulator), currently under development by NEO DOMINO and UFRGS in a research project supported by CELESC Distribuição S.A., Brazil.