Robust Design of Microgrids With Reconfigurable Topology Under Severe Uncertainty

Abstract

The presence of uncertain parameters in design of microgrids (MG) adds significant challenges for MGs planner when it comes to making decisions. To address the uncertainties in the technical and pecuniary information especially in the case of lack of full information on the nature of uncertainty, this paper proposes a novel robust optimization approach for optimum design of MGs considering reconfigurable topology. The proposed approach investigates the economic and reliable structure for MGs deployment and optimal planning of distributed energy resources with section switch and tie switch (TSW) allocation to determine MGs boundaries and topologies. The optimal TSW allocation is implemented in order to change the configuration of distribution network to increase robustness of MGs versus uncertainty. The profit-based objective function is converted into robust framework and, subsequently, has been transformed into single level model by duality gap theory. Finally, grey wolf optimization algorithm has been carried out to solve the proposed model. The appraisement of the proposed model is accomplished by applying it on the IEEE 30-bus distribution system and results of case study demonstrate the effectiveness of the proposed method.