Fractal Characteristics Analysis of Blackouts in Interconnected Power Grid

Feng Wang, Lijuan Li, Canbing Li, Qiuwei Wu*, Yijia Cao, Bin Zhou, Baling Fang

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    The power failure models are a key to understand the mechanism of large scale blackouts. In this letter, the similarity of blackouts in interconnected power grids (IPGs) and their sub-grids is discovered by the fractal characteristics analysis to simplify the failure models of the IPG. The distribution characteristics of blackouts in various sub-grids are demonstrated based on the Kolmogorov-Smirnov (KS) test. The fractal dimensions (FDs) of the IPG and its sub-grids are then obtained by using the KS test and the maximum likelihood estimation (MLE). The blackouts data in China were used to demonstrate the similarity of distribution characteristics and FDs of the IPG and its sub-grids. The results are consistent with the development of the power grids (PGs).
    Original languageEnglish
    JournalIEEE Transactions on Power Systems
    Issue number1
    Pages (from-to)1085-1086
    Number of pages2
    Publication statusPublished - 2018


    • Blackout
    • Complex network
    • Fractal dimensions
    • Interconnected power grid
    • Power failure models


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