TY - GEN
T1 - A support vector machine (SVM) based voltage stability classifier
AU - Dosano, Rodel D.
AU - Song, Hwachang
AU - Lee, Byongjun
PY - 2007
Y1 - 2007
N2 - This paper proposes a support vector machine (SVM) based power system voltage stability classifier using local measurements of voltage and active power of load. The excellent performance of the SVM in the classification related to time-series prediction matches the real-time data of local measurement for system responses by shortterm and long-term dynamics. The methodology for automatic monitoring of the system is initiated locally, which aims to leave sufficient time to perform immediate corrective actions to stop system degradation by the effect of major disturbances. This paper explains the procedure for fast classification of long-term voltage stability using the SVM algorithm.
AB - This paper proposes a support vector machine (SVM) based power system voltage stability classifier using local measurements of voltage and active power of load. The excellent performance of the SVM in the classification related to time-series prediction matches the real-time data of local measurement for system responses by shortterm and long-term dynamics. The methodology for automatic monitoring of the system is initiated locally, which aims to leave sufficient time to perform immediate corrective actions to stop system degradation by the effect of major disturbances. This paper explains the procedure for fast classification of long-term voltage stability using the SVM algorithm.
KW - Classification
KW - Local phasor measurement
KW - Power system voltage stability
KW - Real-time monitoring
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=56149114746&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:56149114746
SN - 9780889866898
T3 - Proceedings of the IASTED International Conference on Energy and Power Systems
SP - 265
EP - 271
BT - Proceedings of the 7th IASTED International Conference on Power and Energy Systems
T2 - 7th IASTED International Conference on Power and Energy Systems
Y2 - 29 August 2007 through 31 August 2007
ER -