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Abstract
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In this paper, the applicability of Microgrids (MGs) is reviewed for power system resilience against lowprobability
high-impact (LPHI) events. Financial issues have been always one of the major priorities in the
scheduling of MGs. Although these systems can feed their loads in islanding mode, resilient operation of them
under critical situations caused by LPHI events is a challenging problem. Improving resilience increases MG
costs, therefore it is necessary to establish a trade-off between resilience and economic metrics. Therefore, the
main purpose of this paper is to develop a novel multi-objective resilience-economic stochastic MG scheduling
model. The proposed bi-level resilience-oriented stochastic scheduling integrates the economic perspective along
with resilience function simultaneously using a multi-objective mixed-integer linear programming approach. The
considered MG resilience function includes various metrics such as the ability to withstand, quick recovery, and
the technical criteria in the face of low-probability high-impact events. The proposed method is tested on the
modified IEEE 33-bus power system with a set of distributed energy resources, energy storage systems, and
electric vehicle parking lots. The results outlined that, although, the integration of the resilience metrics in the
MG scheduling problem has increased the operation cost of the MG approximately 25%, but improved the MG
resilience more than 70%. On the other hand, the proper management of the independent distributed energy
resources enhanced the resilience of the MG approximately 16% while decreased the operation cost of the MG by
at least 28%.
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