A graph-algebraic approach for detecting islands in power system

Youwei Jia, Zhao Xu

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

5 Citations (Scopus)

Abstract

Network islanding is a critical event which is often caused by power system contingencies. In order to safeguard system operation and control, it is imperative to timely detect existing or emerging islands beforehand. This paper develops a new and effective solution for online detection of islanding transition. This approach can largely facilitate secure operation and control of power systems based on complex network and graph theories. In this paper, different graph partitioning methods based on complex network are firstly compared. Then a novel graph-algebraic model based on spectral analysis is developed. In this model, Laplacian matrix of power system network (PSN) is established, which contains significant topological information of power grids. Subsequently, spectral patterns analysis can assist to identify emerging grid islands rapidly and accurately. To evaluate the performance of this approach, IEEE New England 39-bus system is used in our case study.
Original languageEnglish
Title of host publication2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 - Lyngby, Denmark
Duration: 6 Oct 20139 Oct 2013

Conference

Conference2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
CountryDenmark
CityLyngby
Period6/10/139/10/13

Keywords

  • complex network
  • Laplacian matrix
  • network islanding
  • spectral analysis
  • spectrum closeness

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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