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Constrained spectral clustering based methodology for intentional controlled islanding of large-scale power systems

Constrained spectral clustering based methodology for intentional controlled islanding of large-scale power systems
Constrained spectral clustering based methodology for intentional controlled islanding of large-scale power systems
Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading to large-area blackouts. This study proposes a novel methodology, based on `constrained spectral clustering', that is computationally very efficient and determines an islanding solution with minimal power flow disruption, while ensuring that each island contains only coherent generators. The proposed methodology also enables operators to constrain any branch, which must not be disconnected, to be excluded from the islanding solution. The methodology is tested using the dynamic models of the IEEE 39- and IEEE 118-bus test systems. Time-domain simulation results for different contingencies are used to demonstrate the effectiveness of the proposed methodology to minimise the impact of cascading outages leading to large-area blackouts. In addition, a realistically sized system (a reduced model of the Great Britain network with 815 buses) is used to evaluate the efficiency and accuracy of the methodology in large-scale networks. These simulations demonstrate that the author's methodology is more efficient, in a factor of approximately 10, and more accurate than another existing approach for minimal power flow disruption.
1751-8687
31-42
Quiros-Tortos, Jairo
1ca8923e-3884-46eb-ae83-2ce96fc61d46
Sanchez-Garcia, Ruben
8246cea2-ae1c-44f2-94e9-bacc9371c3ed
Brodzki, Jacek
b1fe25fd-5451-4fd0-b24b-c59b75710543
Bialek, Janusz
9ebf1d00-97d0-4383-951c-6f27a7aef767
Terzija, Vladimir
914536dc-940d-4642-945f-cbce4d2c8ec3
Quiros-Tortos, Jairo
1ca8923e-3884-46eb-ae83-2ce96fc61d46
Sanchez-Garcia, Ruben
8246cea2-ae1c-44f2-94e9-bacc9371c3ed
Brodzki, Jacek
b1fe25fd-5451-4fd0-b24b-c59b75710543
Bialek, Janusz
9ebf1d00-97d0-4383-951c-6f27a7aef767
Terzija, Vladimir
914536dc-940d-4642-945f-cbce4d2c8ec3

Quiros-Tortos, Jairo, Sanchez-Garcia, Ruben, Brodzki, Jacek, Bialek, Janusz and Terzija, Vladimir (2015) Constrained spectral clustering based methodology for intentional controlled islanding of large-scale power systems. IET Generation, Transmission & Distribution, 9 (1), 31-42. (doi:10.1049/iet-gtd.2014.0228).

Record type: Article

Abstract

Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading to large-area blackouts. This study proposes a novel methodology, based on `constrained spectral clustering', that is computationally very efficient and determines an islanding solution with minimal power flow disruption, while ensuring that each island contains only coherent generators. The proposed methodology also enables operators to constrain any branch, which must not be disconnected, to be excluded from the islanding solution. The methodology is tested using the dynamic models of the IEEE 39- and IEEE 118-bus test systems. Time-domain simulation results for different contingencies are used to demonstrate the effectiveness of the proposed methodology to minimise the impact of cascading outages leading to large-area blackouts. In addition, a realistically sized system (a reduced model of the Great Britain network with 815 buses) is used to evaluate the efficiency and accuracy of the methodology in large-scale networks. These simulations demonstrate that the author's methodology is more efficient, in a factor of approximately 10, and more accurate than another existing approach for minimal power flow disruption.

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Jairo GTD-2014-0228-R1.pdf - Author's Original
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More information

Accepted/In Press date: 2014
e-pub ahead of print date: 20 June 2014
Published date: 29 January 2015
Organisations: Mathematical Sciences

Identifiers

Local EPrints ID: 367366
URI: https://eprints.soton.ac.uk/id/eprint/367366
ISSN: 1751-8687
PURE UUID: e2ed69fa-9b10-44de-8e2b-8a6d0b22234f
ORCID for Ruben Sanchez-Garcia: ORCID iD orcid.org/0000-0001-6479-3028

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Date deposited: 22 Aug 2014 14:02
Last modified: 10 Dec 2019 01:39

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Contributors

Author: Jairo Quiros-Tortos
Author: Jacek Brodzki
Author: Janusz Bialek
Author: Vladimir Terzija

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