A computationally-efficient network flow based transmission grid criticality analysis approach

A. B. M. Nasiruzzaman; M. N. Akter; M. A. Mahmud; Amanullah. M. T. Oo

doi:10.1109/PESGRE45664.2020.9070387

A computationally-efficient network flow based transmission grid criticality analysis approach

A. B. M. Nasiruzzaman, M. N. Akter, M. A. Mahmud, Amanullah. M. T. Oo

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

Abstract

A network theory based power grid vulnerability analysis approach is investigated in this paper. The proposed approach relies on calculation of maximum flow in order to asses the criticality of the complex power grid network. A computationally efficient method is devised that eliminates the repeated maximum flow calculations for various source-terminal combinations of the flow network representation. Moreover, parallel edges and load capacities are also included as an extension of existing research to evaluate power grid vulnerability based on maximum flow. The proposed method is illustrated with motivating examples and several standard test systems are also used to justify the effectiveness of the proposed method.

Original language	English
Title of host publication	2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9781728142517, 9781728142500
ISBN (Print)	9781728142524
DOIs	https://doi.org/10.1109/PESGRE45664.2020.9070387
Publication status	Published - 2020
Externally published	Yes
Event	2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 - Cochin, India Duration: 2 Jan 2020 → 4 Jan 2020

Conference

Conference	2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
Country/Territory	India
City	Cochin
Period	2/01/20 → 4/01/20

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10.1109/PESGRE45664.2020.9070387

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Nasiruzzaman, A. B. M., Akter, M. N., Mahmud, M. A., & Oo, A. M. T. (2020). A computationally-efficient network flow based transmission grid criticality analysis approach. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PESGRE45664.2020.9070387

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title = "A computationally-efficient network flow based transmission grid criticality analysis approach",

abstract = "A network theory based power grid vulnerability analysis approach is investigated in this paper. The proposed approach relies on calculation of maximum flow in order to asses the criticality of the complex power grid network. A computationally efficient method is devised that eliminates the repeated maximum flow calculations for various source-terminal combinations of the flow network representation. Moreover, parallel edges and load capacities are also included as an extension of existing research to evaluate power grid vulnerability based on maximum flow. The proposed method is illustrated with motivating examples and several standard test systems are also used to justify the effectiveness of the proposed method.",

author = "Nasiruzzaman, {A. B. M.} and Akter, {M. N.} and Mahmud, {M. A.} and Oo, {Amanullah. M. T.}",

year = "2020",

doi = "10.1109/PESGRE45664.2020.9070387",

language = "English",

isbn = "9781728142524",

booktitle = "2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 ; Conference date: 02-01-2020 Through 04-01-2020",

}

Nasiruzzaman, ABM, Akter, MN, Mahmud, MA & Oo, AMT 2020, A computationally-efficient network flow based transmission grid criticality analysis approach. in 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020, Cochin, India, 2/01/20. https://doi.org/10.1109/PESGRE45664.2020.9070387

A computationally-efficient network flow based transmission grid criticality analysis approach. / Nasiruzzaman, A. B. M.; Akter, M. N.; Mahmud, M. A. et al.
2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2020.

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

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AU - Akter, M. N.

AU - Mahmud, M. A.

AU - Oo, Amanullah. M. T.

PY - 2020

Y1 - 2020

N2 - A network theory based power grid vulnerability analysis approach is investigated in this paper. The proposed approach relies on calculation of maximum flow in order to asses the criticality of the complex power grid network. A computationally efficient method is devised that eliminates the repeated maximum flow calculations for various source-terminal combinations of the flow network representation. Moreover, parallel edges and load capacities are also included as an extension of existing research to evaluate power grid vulnerability based on maximum flow. The proposed method is illustrated with motivating examples and several standard test systems are also used to justify the effectiveness of the proposed method.

AB - A network theory based power grid vulnerability analysis approach is investigated in this paper. The proposed approach relies on calculation of maximum flow in order to asses the criticality of the complex power grid network. A computationally efficient method is devised that eliminates the repeated maximum flow calculations for various source-terminal combinations of the flow network representation. Moreover, parallel edges and load capacities are also included as an extension of existing research to evaluate power grid vulnerability based on maximum flow. The proposed method is illustrated with motivating examples and several standard test systems are also used to justify the effectiveness of the proposed method.

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DO - 10.1109/PESGRE45664.2020.9070387

M3 - Conference proceeding contribution

AN - SCOPUS:85084342866

SN - 9781728142524

BT - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020

Y2 - 2 January 2020 through 4 January 2020

ER -

A computationally-efficient network flow based transmission grid criticality analysis approach

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