4.8 Article

Resilient Service Restoration for Unbalanced Distribution Systems With Distributed Energy Resources by Leveraging Mobile Generators

Journal

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 17, Issue 2, Pages 1386-1396

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2020.2976831

Keywords

Generators; Maintenance engineering; Optimization; Energy storage; Switches; Load modeling; Power system reliability; Distributed energy resources (DERs); distribution system; dynamic reconfiguration; energy storage systems (ESSs); mobile emergency generators (MEGs); restoration; unbalance

Funding

  1. China Scholarship Council [201606280081]
  2. National Natural Science Foundation of China [51737011]
  3. Research Program of State Grid Corporation of China [SGSDJN00FZQT1700446, TII-20-0854]

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This article presents an integrated optimization model for unbalanced distribution system restoration after extreme events, which coordinates control actions of various distributed energy resources and considers topology flexibility. Numerical results validate the effectiveness of the model and highlight the necessity of coordinating different flexible resources.
This article proposes an integrated optimization model for unbalanced distribution system restoration after large-scale power outages caused by extreme events. The model can coordinate the control actions of multiple types of distributed energy resources (DERs), including dispatchable distributed generators (DGs), renewable DGs (mainly wind and solar), and energy storage systems (ESSs). The model also considers topology flexibility by forming dynamic islands through reconfiguration. Besides, the optimal dispatch model of repair crews and mobile emergency generators are also proposed to leverage the restoration capabilities of existing DERs installed in the distribution systems. The integrated optimization model is linearized to be a mixed-integer linear programming form, which can be effectively solved by off-the-shelf solvers such as Cplex and Gurobi. Numerical results on IEEE 123 and 8500 node test feeders validated the effectiveness of the proposed model and highlighted the necessity of coordinating various flexible resources.

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