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Controlled islanding of power networks based on graph reduction and spectral clustering. / Tyuryukanov, Ilya; Quirós-Tortós, Jairo; Naglic, Matija; Popov, Marjan; van der Meijden, Mart A.M.M.; Terzija, Vladimir.

Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) . IET, 2017. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Tyuryukanov, I, Quirós-Tortós, J, Naglic, M, Popov, M, van der Meijden, MAMM & Terzija, V 2017, Controlled islanding of power networks based on graph reduction and spectral clustering. in Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) . IET, pp. 1-6, MedPower 2016, Belgrade, Serbia, 6/11/16. https://doi.org/10.1049/cp.2016.1101

APA

Tyuryukanov, I., Quirós-Tortós, J., Naglic, M., Popov, M., van der Meijden, M. A. M. M., & Terzija, V. (2017). Controlled islanding of power networks based on graph reduction and spectral clustering. In Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) (pp. 1-6). IET. https://doi.org/10.1049/cp.2016.1101

Vancouver

Tyuryukanov I, Quirós-Tortós J, Naglic M, Popov M, van der Meijden MAMM, Terzija V. Controlled islanding of power networks based on graph reduction and spectral clustering. In Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) . IET. 2017. p. 1-6 https://doi.org/10.1049/cp.2016.1101

Author

Tyuryukanov, Ilya ; Quirós-Tortós, Jairo ; Naglic, Matija ; Popov, Marjan ; van der Meijden, Mart A.M.M. ; Terzija, Vladimir. / Controlled islanding of power networks based on graph reduction and spectral clustering. Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) . IET, 2017. pp. 1-6

BibTeX

@inproceedings{c6a56f2bdb15485da22d72bf0bb88f14,
title = "Controlled islanding of power networks based on graph reduction and spectral clustering",
abstract = "Intentional controlled islanding aims to split the power system into self-sustainable islands after a severe disturbance, but prior the uncontrolled network separation. Given its nature (i.e. last resort for blackout prevention), this emergency control technique must be adopted as quickly as possible. This paper proposes a computationally efficient method based on graph reduction and spectral clustering. The paper contributes by describing important details of the graph reduction process in the context of controlled islanding and by the formalisation of this process. Furthermore, it demonstrates how to adopt embedded graphs to enhance the Multiway Spectral Clustering graph partitioning. Finally, it is shown how to explicitly incorporate important cannot-link constrains between coherent generator groups into the islanding problem. The proposed method is detailed using the IEEE 39-bus test case. To evaluate the algorithm performance, the method is applied to realistically-sized PEGASE test networks",
keywords = "wide-area protection and control, Controlled islanding, emergency control, spectral clustering",
author = "Ilya Tyuryukanov and Jairo Quir{\'o}s-Tort{\'o}s and Matija Naglic and Marjan Popov and {van der Meijden}, {Mart A.M.M.} and Vladimir Terzija",
note = "Accepted Author Manuscript",
year = "2017",
doi = "10.1049/cp.2016.1101",
language = "English",
pages = "1--6",
booktitle = "Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016)",
publisher = "IET",

}

RIS

TY - GEN

T1 - Controlled islanding of power networks based on graph reduction and spectral clustering

AU - Tyuryukanov, Ilya

AU - Quirós-Tortós, Jairo

AU - Naglic, Matija

AU - Popov, Marjan

AU - van der Meijden, Mart A.M.M.

AU - Terzija, Vladimir

N1 - Accepted Author Manuscript

PY - 2017

Y1 - 2017

N2 - Intentional controlled islanding aims to split the power system into self-sustainable islands after a severe disturbance, but prior the uncontrolled network separation. Given its nature (i.e. last resort for blackout prevention), this emergency control technique must be adopted as quickly as possible. This paper proposes a computationally efficient method based on graph reduction and spectral clustering. The paper contributes by describing important details of the graph reduction process in the context of controlled islanding and by the formalisation of this process. Furthermore, it demonstrates how to adopt embedded graphs to enhance the Multiway Spectral Clustering graph partitioning. Finally, it is shown how to explicitly incorporate important cannot-link constrains between coherent generator groups into the islanding problem. The proposed method is detailed using the IEEE 39-bus test case. To evaluate the algorithm performance, the method is applied to realistically-sized PEGASE test networks

AB - Intentional controlled islanding aims to split the power system into self-sustainable islands after a severe disturbance, but prior the uncontrolled network separation. Given its nature (i.e. last resort for blackout prevention), this emergency control technique must be adopted as quickly as possible. This paper proposes a computationally efficient method based on graph reduction and spectral clustering. The paper contributes by describing important details of the graph reduction process in the context of controlled islanding and by the formalisation of this process. Furthermore, it demonstrates how to adopt embedded graphs to enhance the Multiway Spectral Clustering graph partitioning. Finally, it is shown how to explicitly incorporate important cannot-link constrains between coherent generator groups into the islanding problem. The proposed method is detailed using the IEEE 39-bus test case. To evaluate the algorithm performance, the method is applied to realistically-sized PEGASE test networks

KW - wide-area protection and control

KW - Controlled islanding

KW - emergency control

KW - spectral clustering

UR - http://resolver.tudelft.nl/uuid:c6a56f2b-db15-485d-a22d-72bf0bb88f14

U2 - 10.1049/cp.2016.1101

DO - 10.1049/cp.2016.1101

M3 - Conference contribution

SP - 1

EP - 6

BT - Proceedings - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016)

PB - IET

ER -

ID: 27275087