Subsystem size optimization for efficient parallel restoration of power systems

Nuwan Ganganath, Chi Tsun Cheng, Herbert H.C. Iu, Tyrone Fernando

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

It is essential to rapidly restore a power system after a blackout to minimize the economic losses and negative social impact. The most common approach of accelerating the restoration process is by restoring the complete network as several subsystems in parallel. Even though a parallel restoration process has obvious advantages over its sequential alternatives, sizes of the subsystems play key roles in controlling the overall restoration time. Existing network partitioning strategies for parallel restoration do not put control on the individual subsystem size. In this paper, we proposed a partitioning strategy that helps to accelerate the restoration process by minimizing the subsystem size differences. Case study results given in this paper illustrate the effectiveness of the proposed partitioning strategy in parallel restoration of the power systems.
Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherIEEE
ISBN (Electronic)9781467368520
DOIs
Publication statusPublished - 25 Sep 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: 28 May 201731 May 2017

Conference

Conference50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period28/05/1731/05/17

Keywords

  • agglomerative clustering
  • blackout
  • constrained optimization
  • Network partitioning
  • parallel power system restoration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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