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http://dx.doi.org/10.7737/MSFE.2012.18.1.049

Estimating Basin of Attraction for Multi-Basin Processes Using Support Vector Machine  

Lee, Dae-Won (School of Industrial Engineering, University of Ulsan)
Lee, Jae-Wook (Department of Industrial Engineering, Seoul National University)
Publication Information
Management Science and Financial Engineering / v.18, no.1, 2012 , pp. 49-53 More about this Journal
Abstract
A novel method of transient stability analysis is presented in this paper. The proposed method extracts data points near the basin-of-attraction boundary and then builds a support vector machine (SVM) model learned from the generated data. The constructed SVM classifier has been shown to reduce dramatically the conservativeness of the estimated basin of attraction.
Keywords
Basin-of-Attraction Boundary; Support Vector Machines; Closest Unstable Equilibrium Points; Nonlinear Dynamical System; Power Systems; Transient Stability Analysis;
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