A Two-Stage Resilience Enhancement for Distribution Systems Under Hurricane Attacks

Yichen Shen, Chenghong Gu, Zhibo Ma, Xinhe Yang, Pengfei Zhao

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)
79 Downloads (Pure)

Abstract

Hurricane events can cause severe consequences to the secure supply of electricity systems. This article designs a novel two-stage approach to minimize hurricane impact on distribution networks by automatic system operation. A dynamic hurricane model is developed, which has a variational wind intensity and moving path. The article then presents a two-stage resilience enhancement scheme that considers predisaster strengthening and postcatastrophe system reconfiguration. The pre-disaster stage evaluates load importance by an improved PageRank algorithm to help deploy the strengthening scheme precisely. Then, a combined soft open point and networked microgrid strategy is applied to enhance system resilience. Load curtailment is quantified considering both power unbalancing and the impact of line overloading. To promote computational efficiency, particle swarm optimization is applied to solve the designed model. A 33-bus electricity system is employed to demonstrate the effectiveness of the proposed method. The results clearly illustrate that the impact of hurricanes on load curtailment, which can be significantly reduced by appropriate network reconfiguration strategies. This model provides system operators a powerful tool to enhance the resilience of distribution systems against extreme hurricane events, reducing load curtailment.
Original languageEnglish
Article number9115229
Pages (from-to)653 - 661
Number of pages9
JournalIEEE Systems Journal
Volume15
Issue number1
Early online date12 Jun 2020
DOIs
Publication statusPublished - 31 Mar 2021

Keywords

  • Electric system
  • hurricane events
  • load loss
  • reconfiguration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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