4.6 Article

Distribution System Resilience Enhancement via Mobile Emergency Generators

Journal

IEEE TRANSACTIONS ON POWER DELIVERY
Volume 36, Issue 4, Pages 2308-2319

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2020.3007762

Keywords

Resilience; Power distribution; Load modeling; Generators; Load flow; Switches; Resilience; power distribution systems; optimal pre-positioning; mobile emergency generator; crew dispatching

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This paper introduces a model to enhance the resilience of power distribution systems to natural disasters by reconfiguring the network and pre-positioning resources before the calamity, validating the effectiveness through simulations.
Natural calamities always have been a serious threat to energy systems. In this regard, this paper constitutes a stochastic mixed integer linear programming (SMILP) model to enhance the resilience of power distribution systems to deal with disastrous events. In particular, the proposed model is developed to enhance both survivability and restoration capability of distribution systems. In this regard, to increase the preparedness of the power distribution system, the system operator reconfigures the network by utilizing remote-control switches (RCSs), manual switches (MSs), and distributed generations (DGs) before the natural calamity hits. The proposed model contemplates the traveling time of crew teams to the MS sites in the transportation system in order to achieve the best switching sequence. In addition, it pre-positions the crews and mobile emergency generators (MEGs) in staging locations to hasten the likely post-disturbance operations. To do so, likely post-event operations are included in the model using the scenario generation technique. To validate the performance of the developed model a distribution system is employed. The results of simulations confirm the effectiveness of the proposed approach in declining the interruption of electric energy for customers.

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