Abstract
Natural disasters, especially earthquakes, regarding their higher frequency, have had devastating effects on distribution networks (DNs). So it is necessary to provide vital flexibility to enhance the resilience of DNs for coming across such events. Therefore, In this research, it is tried to improve the resilience of the DN against earthquakes by considering road traffic and interruption time as the main challenges in the early hours after the event using the mobile battery energy storage system (MBESS). Also, in order to model the earthquake damage on DN just like the real world, in an innovative way, in addition to the direct impact of the earthquake, the impact of the collapse of the surrounding buildings on the power poles is calculated using fragility curves. The presented model is solved using Mixed Integer Linear Programming (MILP) optimization, and it is tested on a segment of the Tehran DN. For a better understanding of performances, battery energy storage system (BESS) and MBESS are compared under the same conditions, and the results showed that despite the cost of fuel and driver in MBESS, it outperforms with 62.1076% resilience and 85,703.26584 € less cost than BESS because of the mobility nature of MBESS. Besides, the sensitivity analysis indicates that although the mobility nature of MBESS makes it more popular than BESS, the short interruption time and heavy road traffic could be a threat to MBESS's superiority.
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