Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience

Qingxin Shi, Fangxing Li, Jin Dong, Mohammed Olama, Xiaofei Wang, Chris Winstead, Teja Kuruganti

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

In this paper, a post-disaster distribution system repair and restoration (DSRR) strategy is proposed to improve distribution system resilience. The DSRR strategy is formulated as a two-stage optimization. The first stage is a comprehensive co-optimization of repair crew scheduling, dynamic network reconfiguration, and distributed energy resource (DER) dispatch based on the forecast load profile. The goal is to minimize the accumulative operating cost caused by the load reduction payment as well as DER operating cost. In particular, since the number of available repair crews is usually smaller than the number of faulted lines after a disaster event, the DSRR strategy determines the optimal scheduling for repairing faulted lines. The second stage is a re-dispatch of the DER power output and load shedding based on the real-time load demand of each bus. The proposed algorithm is validated by case studies of the IEEE 33-bus and 123-bus test systems. We consider those scenarios in which faults occur in multiple heavy-loaded feeders. The simulation results demonstrate that the DSRR strategy effectively coordinate the repair scheduling, network reconfiguration and load shedding to minimize the operating cost.

Original languageEnglish
Article number119245
JournalApplied Energy
Volume318
DOIs
StatePublished - Jul 15 2022

Funding

This material is based upon work supported by the U.S. Department of Energy (DOE), Grid Modernization Laboratory Consortium (GMLC), DOE Office of Electricity, and Building Technologies Office. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://energy.gov/downloads/doe-public-access-plan). This material is based upon work supported by the U.S. Department of Energy (DOE), Grid Modernization Laboratory Consortium (GMLC), DOE Office of Electricity, and Building Technologies Office. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( https://energy.gov/downloads/doe-public-access-plan ).

Keywords

  • Distributed energy resource (DER)
  • Distribution system restoration
  • Network reconfiguration
  • Repair crew
  • Resilience

Fingerprint

Dive into the research topics of 'Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience'. Together they form a unique fingerprint.

Cite this