Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ - Khaled Abduesslam. M. Abedou,Muhammad Nizam. M. T,.. Inayati
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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 ... Full description
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Description
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).
More Information
| Author | Khaled Abduesslam. M. Abedou, Muhammad Nizam. M. T, .. Inayati |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2017 |
| Cover type | Softcover |
| EAN | 9783330083127 |