Fractal Characteristics Analysis of Blackouts in Interconnected Power Grid

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

doi:10.1109/TPWRS.2017.2704901

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

Hunan University

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

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 language	English
Journal	IEEE Transactions on Power Systems
Volume	33
Issue number	1
Pages (from-to)	1085-1086
Number of pages	2
ISSN	0885-8950
DOIs	https://doi.org/10.1109/TPWRS.2017.2704901
Publication status	Published - 2018

Keywords

Blackout
Complex network
Fractal dimensions
Interconnected power grid
Power failure models

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title = "Fractal Characteristics Analysis of Blackouts in Interconnected Power Grid",

abstract = "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). ",

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T1 - Fractal Characteristics Analysis of Blackouts in Interconnected Power Grid

AU - Wang, Feng

AU - Li, Lijuan

AU - Li, Canbing

AU - Wu, Qiuwei

AU - Cao, Yijia

AU - Zhou, Bin

AU - Fang, Baling

PY - 2018

Y1 - 2018

N2 - 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).

AB - 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).

KW - Blackout

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KW - Fractal dimensions

KW - Interconnected power grid

KW - Power failure models

U2 - 10.1109/TPWRS.2017.2704901

DO - 10.1109/TPWRS.2017.2704901

M3 - Journal article

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JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

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Fractal Characteristics Analysis of Blackouts in Interconnected Power Grid

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