Electric power network fractal and its relationship with power system fault

Hui Hou, Aihong Tang, Hualiang Fang, Xiaoling Yang, Zhaoyang Dong

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)
14 Downloads (CityUHK Scholars)

Abstract

Electric power system network is with fractal characteristic. It has the basic feature of a complex network: self-similarity. The authors first calculated the fractal dimension values for several electric power grids, including WSCC (Western Systems Coordinating Council) 9 bus system, IEEE14 bus system, IEEE 30 bus system, IEEE 39 bus system, IEEE 118 bus system and IEEE 300 bus system; as well as some real power grids such as China Southern Power Grid (CSPG) 500 kV main power grid, Guangdong province 500 kV main power grid, and Guangdong province 500 kV and 220 kV mixed power grid, etc. Based on the power grid fractal value, a comparison and relationship between the fractal value and power system failure rate is analysed. The basic conclusion is that for the same voltage level, the larger the scale is, the larger fractal value and higher failure rate the power grid will possibly have. For the same scale, the denser the power grid, the larger fractal value and higher failure rate the power grid will probably have. The conclusions provide a new vision on the power system vulnerability status judgment from an interdisciplinary view and lead to a new research direction. © 2015, Strojarski Facultet. All rights reserved.
Original languageEnglish
Pages (from-to)623-628
JournalTehnicki Vjesnik
Volume22
Issue number3
DOIs
Publication statusPublished - 1 Jun 2015
Externally publishedYes

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Research Keywords

  • Complex system
  • Electric power network
  • Failure rate
  • Fractal
  • Power grid

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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