Journal of Energy Management and Technology

Journal of Energy Management and Technology

Boosting Network Resiliency with Microgrid-based Distribution Networks Planning

Document Type : Original Article

Authors
Sajad Najafi Ravadanegh 1
Hassan Jahangirzadeh 1
Navid Taghizadegan 2
1 Resilient Smart Grids Research Lab, Azarbaijan Shahid Madani University
2 Azarbaijan Shahid Madani University
10.22109/jemt.2025.501372.1539
Abstract
In this paper, resilient microgrid is designed and compared with an optimal conventional network at the same area subjected to a weather-related hurricane. Comparisons are made with both network total cost and its resiliency indicators. For MGs-based network the geographical boundaries of each MG is supposed to be predefined while their electrical network boundaries are designed as an integrated distribution network.  The costs of different parts of the network such as low and medium voltage feeders, distributed energy resources (DERs), and substations are compared with the resilient-based network. The resiliency of the designed distribution network against the hurricane is explored using components fragility index. To evaluate the components fragility index, the study area is divided into several GIS-based zones in terms of wind intensity. The resilience of the planned network is evaluated in three modes as normal, reinforced distribution network and in the presence of MGs. A sensitivity analysis is also performed at different wind speeds scenarios. To evaluate the effectiveness and comparison of the network performance several resilience indexes are used. Based on the results, the energy not supply for the normal case is 22416.36 kwh while it is reduced to 7377.54 kwh in case of network hardening. The ENS decrease to 20831.67 kwh in case on MG-based network planning. Results indicate that at higher wind speed the performance of MG-based network is better comparing to reinforced conventional network.
Keywords
Distribution network
Planning, Resiliency
Hurricane
Fragility curve
Geographical information system

Subjects

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Journal of Energy Management and Technology
Volume 9, Issue 3
Summer 2025
Pages 139-147

  • Receive Date 21 January 2025
  • Revise Date 24 February 2025
  • Accept Date 16 August 2025