Intentional islanding method based on community detection for distribution networks

Haiyan Zhang, Minfang Peng, Peter Palensky

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
14 Downloads (Pure)


Complex network theory is introduced to solve the islanding problem in an emergency of distribution networks. In this study, the authors put forward an intentional islanding method based on community detection. In this method, a new index has been defined called electrical edge betweenness, on the strength of edge betweenness in complex networks, which fuses electrical characteristics with topological features of actual power lines. Based on the index, the Girvan–Newman algorithm is employed to detect the community structure of distribution networks. Through referring to the modularity value (function Q) and coherent generator groups, they can get a reasonable amount and regions of communities. Then the whole distribution network can be partitioned into several self-sustainable islands meeting the stable operation constraints. The effectiveness of the authors’ proposed method is tested on a standard IEEE 118-bus system.
Original languageEnglish
Pages (from-to)30-36
Number of pages7
JournalIET Generation, Transmission and Distribution
Issue number1
Publication statusPublished - 2018

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • distribution networks
  • electrical edge betweenness
  • modularity value
  • intentional islanding method
  • complex network theory
  • self-sustainable islands
  • electrical characteristics
  • coherent generator groups
  • function Q
  • actual power lines
  • edge betweenness strength
  • stable operation constraints
  • Girvan-Newman algorithm
  • community detection
  • islanding problem
  • community structure detection
  • standard IEEE 118-bus system
  • topological features


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