A new controlled islanding algorithm based on spectral clustering

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

18 Citations (Scopus)

Abstract

When islanding operation of system is unavoidable, controlled islanding need determine proper splitting strategies and split the entire interconnected transmission network into islands ensuring generation/load balance and generator coherency. For a large-scale power system, the controlled islanding problem is very complex in general because a combinatorial explosion of strategy space happens. This paper mainly studies how to find proper splitting strategies of large-scale power systems using a two-step spectral clustering based method. In the first step, the machine nodes (generators and dynamic loads) will be grouped by normalized spectral clustering with dynamic models to satisfy the dynamic constraint, and the machine grouping results will be served as prior knowledge of the next step. In the second step, all the nodes will be grouped by constrained spectral clustering with power flow data to satisfy the static constraint and get the minimal cut set solution. Simulation results on IEEE 9- and 118-bus networks show that this method is efficient for controlled islanding of large-scale power systems.

Original languageEnglish
Title of host publicationDRPT 2011 - 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies
Pages337-342
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2011 - Weihai, Shandong, China
Duration: 6 Jul 20119 Jul 2011

Publication series

NameDRPT 2011 - 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

Conference

Conference2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2011
Country/TerritoryChina
CityWeihai, Shandong
Period6/07/119/07/11

Keywords

  • constrained spectral clustering
  • Controlled islanding
  • graph theory
  • normalized spectral clustering

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