S Kalyani and K Shanti Swarup
Power System Security Assessment using Binary SVM Based Pattern Recognition
746 - 752
2009
3
4
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/10828
https://publications.waset.org/vol/28
World Academy of Science, Engineering and Technology
Power System Security is a major concern in real time
operation. Conventional method of security evaluation consists of
performing continuous load flow and transient stability studies by
simulation program. This is highly time consuming and infeasible
for online application. Pattern Recognition (PR) is a promising
tool for online security evaluation. This paper proposes a Support
Vector Machine (SVM) based binary classification for static and
transient security evaluation. The proposed SVM based PR approach
is implemented on New England 39 Bus and IEEE 57 Bus systems.
The simulation results of SVM classifier is compared with the other
classifier algorithms like Method of Least Squares (MLS), Multi
Layer Perceptron (MLP) and Linear Discriminant Analysis (LDA)
classifiers.
Open Science Index 28, 2009