Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ - Couverture souple

Abduesslam. M. Abedou, Khaled; Nizam. M. T, Muhammad; Inayati, .

 
9783330083127: Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ
Couverture souple
ISBN 10 : 3330083123 ISBN 13 : 9783330083127
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

The Classification of Voltage Problem Using Support Vector Machine (SVM) of electrical power system using Least Squares Support Vector Machine (LS-SVM) algorithm and implemented on IEEE-39 bus New-England system. The data was collected from the time domain simulation by using input to the LS-SVM classification, and LS-SVM PTSI estimation on Least Squares Support Vector Machine, which is used as a predictor to determine the dynamic voltage collapse indices by increasing of the power in load buses. The Kernel function type and Kernel parameter are considered. In order to verify the effectiveness of the proposed LS-SVM classification and estimation method, its performance is compared with the Learning Vector Quantization (LVQ).

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330083123
ISBN 13 
9783330083127
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
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