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

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

Tyuryukanov, I. (TU Delft Intelligent Electrical Power Grids)
Quirós-Tortós, Jairo (University of Costa Rica)
Naglic, M. (TU Delft Intelligent Electrical Power Grids)
Popov, M. (TU Delft Intelligent Electrical Power Grids)
van der Meijden, M.A.M.M. (TU Delft Intelligent Electrical Power Grids; TenneT TSO B.V.)
Terzija, Vladimir (The University of Manchester)

2017

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

wide-area protection and control
Controlled islanding
emergency control
spectral clustering

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

https://doi.org/10.1049/cp.2016.1101

IET

978-1-78561-406-4

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

MedPower 2016, 2016-11-06 → 2016-11-09, Belgrade, Serbia

Accepted Author Manuscript

Institutional Repository

conference paper

© 2017 I. Tyuryukanov, Jairo Quirós-Tortós, M. Naglic, M. Popov, M.A.M.M. van der Meijden, Vladimir Terzija