Dynamic Restoration Strategy for Distribution System Resilience Enhancement

Weijia Liu, Fei Ding, Changhong Zhao

Research output: Contribution to conferencePaperpeer-review

10 Scopus Citations


In electric power distribution systems, distributed energy resources (DERs) can act as controllable power sources and support utility operators to minimize power outages after extreme weather events (e.g., hurricane, earthquake, wildfire) and thus help enhance the grid's resilience. Meanwhile, the influences of extreme events and the capabilities of DERs are dynamic and difficult to predict. Hence, the desired distribution system restoration strategy should be able to evolve according to real-time fault/dis-turbance information and the availability of DERs. In this paper, we propose a new dynamic restoration strategy for distribution systems to enhance system resilience against potential hazards. An efficient reconfiguration algorithm is developed to eliminate the use of integer variables to relieve the computational burden. Model predictive control is implemented to adjust the system topology and DER operation set points based on the updated fault information and DER forecasts. The effectiveness of the proposed restoration model in enhancing distribution system resilience is validated through an IEEE 123-bus test system. Simulation results also validate that the proposed restoration model can mitigate the occurrence of unexpected events and the fluctuations of DERs.

Original languageAmerican English
Number of pages5
StatePublished - Feb 2020
Event2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States
Duration: 17 Feb 202020 Feb 2020


Conference2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Country/TerritoryUnited States

Bibliographical note

See NREL/CP-5D00-74735 for preprint

NREL Publication Number

  • NREL/CP-5D00-77278


  • Distributed energy resources (DERs)
  • Distribution system reconfiguration
  • Distribution system restoration
  • Model predictive control (MPC)
  • Power system resilience
  • Three-phase unbalanced distribution system


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