TY - JOUR
T1 - Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems
AU - Quiros-Tortos, J
AU - Sanchez-Garcia, R
AU - Brodzki, J
AU - Bialek, J
AU - Terzija, V
N1 - The authors would like to thank all the anonymous reviewers for their many valuable suggestions during the reviewing process. The first and fifth authors would like to thank the Engineering and Physical Science Research Council (EPSRC) grants EP/E009735/1 in the UK, and the Office of International Affairs and External Cooperation at the University of Costa Rica for their financial support. The second, third and fourth authors would like to acknowledge support by EPSRC grants EP/G059101/1 and EP/G060169/1.
PY - 2015/1/8
Y1 - 2015/1/8
N2 - Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading to large-area blackouts. This paper 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 our methodology is more efficient, in a factor of approximately 10, and more accurate than another existing approach for minimal power flow disruption.
AB - Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading to large-area blackouts. This paper 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 our methodology is more efficient, in a factor of approximately 10, and more accurate than another existing approach for minimal power flow disruption.
KW - distributed power generation load flow power distribution faults power distribution reliability time-domain analysis
KW - Great Britain network IEEE 118-bus test system IEEE 39-bus test system cascading outages impact constrained spectral clustering-based methodology intentional controlled islanding large-area blackout large-scale power system minimal power flow disruption r
U2 - 10.1049/iet-gtd.2014.0228
DO - 10.1049/iet-gtd.2014.0228
M3 - Article
SN - 1751-8687
VL - 9
SP - 31
EP - 42
JO - I E T Generation, Transmission and Distribution
JF - I E T Generation, Transmission and Distribution
IS - 1
ER -