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A new method of transient stability assessment in power systems using LS-SVM


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. .


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.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/SCORED.2007.4451446
Publisher: IEEE
Keywords: Least squares support vector machines; Artificial neural network; Dynamic security assessment; Time domain simulation method; Transient stability assessment
Depositing User: Nabilah Mustapa
Date Deposited: 03 Aug 2016 03:38
Last Modified: 03 Aug 2016 03:38
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SCORED.2007.4451446
URI: http://psasir.upm.edu.my/id/eprint/47988
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