Exploration of power flow distribution to reveal scale-free characteristics in power grids

A. B.M. Nasiruzzaman; M. N. Akter; M. A. Mahmud; H. R. Pota

doi:10.1109/PESGM.2017.8273917

Exploration of power flow distribution to reveal scale-free characteristics in power grids

A. B.M. Nasiruzzaman, M. N. Akter, M. A. Mahmud, H. R. Pota

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

Abstract

An investigation into the power flow distribution is conducted to better understand the vulnerability of power grids. The distribution of number of links connected to any random node of the power grid follows an exponential distribution. Hence, network theory based topological degree distribution of power grids does not provide useful information about critical elements (e.g., nodes and links). Hence, the distribution of an alternative functional parameter of power grids, node flow, is scrutinized with a view to gain understanding of the paradoxical robust but fragile characteristics explained by power-law distribution. We show that, although the node flow follows the exponential distribution, a meticulous examination of the distribution of high power flow nodes reveals the scale-free characteristics.

Original language	English
Title of host publication	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538622124
ISBN (Print)	9781538622131
DOIs	https://doi.org/10.1109/PESGM.2017.8273917
Publication status	Published - 29 Jan 2018
Externally published	Yes
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-January
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/Territory	United States
City	Chicago
Period	16/07/17 → 20/07/17

Keywords

power flow distribution
scale-free characteristics
power grids
network theory
power-law distribution

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10.1109/PESGM.2017.8273917Licence: In Copyright

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Nasiruzzaman, A. B. M., Akter, M. N., Mahmud, M. A., & Pota, H. R. (2018). Exploration of power flow distribution to reveal scale-free characteristics in power grids. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (pp. 1-5). (IEEE Power and Energy Society General Meeting; Vol. 2018-January). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PESGM.2017.8273917

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title = "Exploration of power flow distribution to reveal scale-free characteristics in power grids",

abstract = "An investigation into the power flow distribution is conducted to better understand the vulnerability of power grids. The distribution of number of links connected to any random node of the power grid follows an exponential distribution. Hence, network theory based topological degree distribution of power grids does not provide useful information about critical elements (e.g., nodes and links). Hence, the distribution of an alternative functional parameter of power grids, node flow, is scrutinized with a view to gain understanding of the paradoxical robust but fragile characteristics explained by power-law distribution. We show that, although the node flow follows the exponential distribution, a meticulous examination of the distribution of high power flow nodes reveals the scale-free characteristics.",

keywords = "power flow distribution, scale-free characteristics, power grids, network theory, power-law distribution",

author = "Nasiruzzaman, {A. B.M.} and Akter, {M. N.} and Mahmud, {M. A.} and Pota, {H. R.}",

year = "2018",

month = jan,

day = "29",

doi = "10.1109/PESGM.2017.8273917",

language = "English",

isbn = "9781538622131",

series = "IEEE Power and Energy Society General Meeting",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "1--5",

booktitle = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017",

address = "United States",

note = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",

}

Nasiruzzaman, ABM, Akter, MN, Mahmud, MA & Pota, HR 2018, Exploration of power flow distribution to reveal scale-free characteristics in power grids. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Power and Energy Society General Meeting, vol. 2018-January, Institute of Electrical and Electronics Engineers, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 16/07/17. https://doi.org/10.1109/PESGM.2017.8273917

Exploration of power flow distribution to reveal scale-free characteristics in power grids. / Nasiruzzaman, A. B.M.; Akter, M. N.; Mahmud, M. A. et al.
2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Institute of Electrical and Electronics Engineers, 2018. p. 1-5 (IEEE Power and Energy Society General Meeting; Vol. 2018-January).

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

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T1 - Exploration of power flow distribution to reveal scale-free characteristics in power grids

AU - Nasiruzzaman, A. B.M.

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AU - Mahmud, M. A.

AU - Pota, H. R.

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N2 - An investigation into the power flow distribution is conducted to better understand the vulnerability of power grids. The distribution of number of links connected to any random node of the power grid follows an exponential distribution. Hence, network theory based topological degree distribution of power grids does not provide useful information about critical elements (e.g., nodes and links). Hence, the distribution of an alternative functional parameter of power grids, node flow, is scrutinized with a view to gain understanding of the paradoxical robust but fragile characteristics explained by power-law distribution. We show that, although the node flow follows the exponential distribution, a meticulous examination of the distribution of high power flow nodes reveals the scale-free characteristics.

AB - An investigation into the power flow distribution is conducted to better understand the vulnerability of power grids. The distribution of number of links connected to any random node of the power grid follows an exponential distribution. Hence, network theory based topological degree distribution of power grids does not provide useful information about critical elements (e.g., nodes and links). Hence, the distribution of an alternative functional parameter of power grids, node flow, is scrutinized with a view to gain understanding of the paradoxical robust but fragile characteristics explained by power-law distribution. We show that, although the node flow follows the exponential distribution, a meticulous examination of the distribution of high power flow nodes reveals the scale-free characteristics.

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KW - scale-free characteristics

KW - power grids

KW - network theory

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Exploration of power flow distribution to reveal scale-free characteristics in power grids

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