2026-10-06T10:38:36Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33994141 2026-09-25T20:34:20Z category_26461 category_26467 category_26470 item_type_3 month_year_09_2026

<b>Resilience Enhancement of Reconfigurable Electric Distribution Networks against Extreme Events Considering Resilient Microgrids</b> Naser Parhizgar (25090837) Electrical circuits and systems Electrical energy storage Electrical energy transmission, networks and systems power system computer-aided design <p dir="ltr">This study presents an optimal scheduling for improving the resilience of reconfigurable electrical distribution networks (EDN) using resilient microgrids against high impact, low probability (HILP) events. EDN are modeled considering physical constraints such as optimal reconfigurable AC power flow and high penetration of innovative distributed energy. On the other hand, resilient microgrids are modeled considering controllable resources, variable units, hydrogen energy storage and battery storage systems. In addition, this study presents a demand response program (DRP) approach to shift consumption loads from on-peak to off-peak hours in order to improve operating costs and enhance microgrid resilience. The main objective of this study is to maximize the critical loads supply of EDN while considering the operating costs of microgrids. Robust optimization approaches are used to model the uncertain behavior of renewable energy resources (RESs) available in EDN and microgrids. Additionally, in order to model severe potential events, the study considers multiple damage scenarios caused by physical attacks on the EDN, each lasting for a specified duration. The EDN is modeled with using an IEEE 33-bus test system. The proposed model was a mixed integer linear program, which was implemented in the GAMS programming environment and solved using the CPLEX solver. The results obtained in the simulation section strongly confirm the effectiveness of the proposed model.</p> 2026-09-25T20:34:20Z Dataset Dataset 10.6084/m9.figshare.33994141.v1 https://figshare.com/articles/dataset/_b_Resilience_Enhancement_of_Reconfigurable_Electric_Distribution_Networks_against_Extreme_Events_Considering_Resilient_Microgrids_b_/33994141 MIT