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A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment

Al-Masri, Ahmed Naufal A. and Ab Kadir, Mohd Zainal Abidin and Hizam, Hashim and Mariun, Norman (2013) A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment. IEEE Transactions on Power Systems, 28 (3). pp. 2516-2525. ISSN 0885-8950

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Abstract

This paper addresses a new approach for predicting the generator rotor angle using an adaptive artificial neural network (AANN) for power system stability. The aim of this work is to predict the stability status for each generator when the system is under a contingency. This is based on the initial condition of an operating point, which is represented by the generator rotor angle at a certain load level. An automatic data generation algorithm is developed for the training and testing process. The proposed method has been successfully tested on the IEEE 9-bus test system and the 87-bus system for Peninsular Malaysia.

Item Type:Article
Keyword:Artificial neural network (ANN); Contingency analysis; Dynamic security assessment (DSA); Rotor angle stability
Faculty or Institute:Faculty of Engineering
Publisher:IEEE
DOI Number:10.1109/TPWRS.2013.2247069
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/TPWRS.2013.2247069
ID Code:28635
Deposited By: Muizzudin Kaspol
Deposited On:23 May 2014 15:30
Last Modified:06 Jun 2016 15:22

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