A Heuristic Approach to the Post-Disturbance and Stochastic Pre-Disturbance Microgrid Formation Problem

Kwami Senam Sedzro, Xin Shi, Alberto Lamadrid, Luis Zuluaga

Research output: Contribution to journalArticlepeer-review

28 Scopus Citations

Abstract

Microgrid formation is a potential solution in post-disaster electric grid recovery efforts. Recent works propose distribution level microgrid formation models using mixed-integer linear programming techniques. However, these models can only be solved for small and medium size power systems due to their computational intractability. In this paper, we introduce a heuristic approach to approximately solve the post-disturbance microgrid formation problem for medium to large, more realistic, instances. Furthermore, the proposed approach allows to approximately solve the pre-disturbance microgrid formation problem (a stochastic version of the post-disturbance problem), in which the aim is to allocate extra generation capacity to the network to immunize it, as best as possible, against an uncertain cascading failure. Our results are illustrated by solving versions of the problem on ten test cases with up to 3012 buses.

Original languageAmerican English
Pages (from-to)5574-5586
Number of pages13
JournalIEEE Transactions on Smart Grid
Volume10
Issue number5
DOIs
StatePublished - 1 Sep 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

NREL Publication Number

  • NREL/JA-5D00-73116

Keywords

  • grid recovery
  • microgrid formation
  • Power systems resiliency
  • stochastic optimization

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