A new method of transient stability assessment in power systems using LS-SVM
This paper presents transient stability assessment of electrical power system using least squares support vector machine (LS-SVM) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulat...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2007
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47988/ http://psasir.upm.edu.my/id/eprint/47988/1/A%20new%20method%20of%20transient%20stability%20assessment%20in%20power%20systems%20using%20LS-SVM.pdf |
| _version_ | 1848850959391784960 |
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| author | Abdul Wahab, Noor Izzri Mohamed, Azah Yahya, Iskandar |
| author_facet | Abdul Wahab, Noor Izzri Mohamed, Azah Yahya, Iskandar |
| author_sort | Abdul Wahab, Noor Izzri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents transient stability assessment of electrical power system using least squares support vector machine (LS-SVM) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9- bus test system considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the LS-SVM in which LS-SVM is used as a classifier to determine the stability state of a power system. Principle component analysis is applied to extract useful input features to the LS-SVM so that training time of the LS-SVM can be reduced. To verify the effectiveness of the proposed LS-SVM method, its performance is compared with the multi layer perceptron neural network. Results show that the LS-SVM gives faster and more accurate transient stability assessment compared to the multi layer perceptron neural network in terms of classification results. |
| first_indexed | 2025-11-15T10:14:34Z |
| format | Conference or Workshop Item |
| id | upm-47988 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:14:34Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-479882016-08-03T03:38:58Z http://psasir.upm.edu.my/id/eprint/47988/ A new method of transient stability assessment in power systems using LS-SVM Abdul Wahab, Noor Izzri Mohamed, Azah Yahya, Iskandar This paper presents transient stability assessment of electrical power system using least squares support vector machine (LS-SVM) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9- bus test system considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the LS-SVM in which LS-SVM is used as a classifier to determine the stability state of a power system. Principle component analysis is applied to extract useful input features to the LS-SVM so that training time of the LS-SVM can be reduced. To verify the effectiveness of the proposed LS-SVM method, its performance is compared with the multi layer perceptron neural network. Results show that the LS-SVM gives faster and more accurate transient stability assessment compared to the multi layer perceptron neural network in terms of classification results. IEEE 2007 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47988/1/A%20new%20method%20of%20transient%20stability%20assessment%20in%20power%20systems%20using%20LS-SVM.pdf Abdul Wahab, Noor Izzri and Mohamed, Azah and Yahya, Iskandar (2007) A new method of transient stability assessment in power systems using LS-SVM. In: 5th Student Conference on Research and Development (SCOReD 2007), 11-12 Dec. 2007, Selangor, Malaysia. . 10.1109/SCORED.2007.4451446 |
| spellingShingle | Abdul Wahab, Noor Izzri Mohamed, Azah Yahya, Iskandar A new method of transient stability assessment in power systems using LS-SVM |
| title | A new method of transient stability assessment in power systems using LS-SVM |
| title_full | A new method of transient stability assessment in power systems using LS-SVM |
| title_fullStr | A new method of transient stability assessment in power systems using LS-SVM |
| title_full_unstemmed | A new method of transient stability assessment in power systems using LS-SVM |
| title_short | A new method of transient stability assessment in power systems using LS-SVM |
| title_sort | new method of transient stability assessment in power systems using ls-svm |
| url | http://psasir.upm.edu.my/id/eprint/47988/ http://psasir.upm.edu.my/id/eprint/47988/ http://psasir.upm.edu.my/id/eprint/47988/1/A%20new%20method%20of%20transient%20stability%20assessment%20in%20power%20systems%20using%20LS-SVM.pdf |