A graph theory based new approach for power system restoration

Jairo Quiros-Tortos, Vladimir Terzija

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

Abstract

This paper presents a novel graph theory based approach for restoring large scale power systems affected by complete blackouts. The proposed graph theory based method assesses the power system in blackout and represents the required information in a graph. The graph is initially used to determine the sectionalizing strategy. To do so, an un-normalized spectral clustering algorithm is implemented. The method then applies parallel power system restoration, restoring the created islands in parallel. Thus, the restoration process is speeded up. An algorithm for computing the k-shortest simple paths from the blackstart unit in each island to the non-blackstart units and loads in the same island is then carried out. By implementing the proposed method, cranking power can be rapidly sent to non-blackstart units and loads can be picked up quickly. The new graph theory based method is tested on the New England 39-bus test system. Simulation results are used to demonstrate the effectiveness of the proposed method on restoring systems affected by complete blackouts.

Original languageEnglish
Title of host publication2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 - Grenoble, France
Duration: 16 Jun 201320 Jun 2013

Publication series

Name2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Conference

Conference2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
Country/TerritoryFrance
CityGrenoble
Period16/06/1320/06/13

Keywords

  • Graph theory
  • parallel power system restoration
  • spectral clustering

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