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Functional Community Detection in Power Grids

  • Xiaoliang Wang
  • , Fei Xue*
  • , Shaofeng Lu
  • , Lin Jiang
  • , Qigang Wu
  • *Corresponding author for this work
    • Xi'an Jiaotong-Liverpool University
    • University of Liverpool

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    6 Citations (Scopus)

    Abstract

    Community detection algorithm is broadly applied in amount of studies to partition networks. But not all available methods are equally suitable for power grids. This paper proposes the concept of functional community structure based on functionality of the network. And a novel partitioning algorithm is presented by upgrading the Newman fast algorithm of community detection. The coupling strength is therefore proposed to replace conventional adjacency matrix to represent the relationship between nodes in networks. The electrical coupling strength (ECS) is defined to better reflect electrical characteristics between any two nodes in power grids. Furthermore, to consider the functionality of node type distribution, power supply strength (PSS) is proposed based on ECS only from generation nodes to load nodes to evaluate the impact of different node type distribution in the power supply. Moreover, modularity is redefined as power supply modularity based on PSS to evaluate the partitioning performance of power grids. Finally, considering the functionality of power grids. The Newman fast algorithm is upgraded based on power supply modularity.

    Original languageEnglish
    Title of host publicationComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
    EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
    PublisherSpringer
    Pages883-894
    Number of pages12
    ISBN (Print)9783030366827
    DOIs
    Publication statusPublished - 2020
    Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
    Duration: 10 Dec 2019 → 12 Dec 2019

    Publication series

    NameStudies in Computational Intelligence
    Volume882 SCI
    ISSN (Print)1860-949X
    ISSN (Electronic)1860-9503

    Conference

    Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
    Country/TerritoryPortugal
    CityLisbon
    Period10/12/19 → 12/12/19

    Keywords

    • Community detection
    • Complex network
    • Functional community
    • Newman fast algorithm
    • Topological community

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