A new intelligent algorithm for online voltage stability assessment and monitoring

Kamalasadan, S and Thukaram, D and Srivastava, AK (2009) A new intelligent algorithm for online voltage stability assessment and monitoring. In: International Journal of Electrical Power & Energy Systems, 31 (2-3). pp. 100-110.

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Abstract

This paper presents a new approach for assessing power system voltage stability based on artificial feed forward neural network (FFNN). The approach uses real and reactive power, as well as voltage vectors for generators and load buses to train the neural net (NN). The input properties of the NN are generated from offline training data with various simulated loading conditions using a conventional voltage stability algorithm based on the L-index. The performance of the trained NN is investigated on two systems under various voltage stability assessment conditions. Main advantage is that the proposed approach is fast, robust, accurate and can be used online for predicting the L-indices of all the power system buses simultaneously. The method can also be effectively used to determining local and global stability margin for further improvement measures.

Item Type:	Journal Article
Publication:	International Journal of Electrical Power & Energy Systems
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Artificial neural network;Voltage stability assessment;Feed forward neural networks;L-index.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	16 Nov 2009 10:11
Last Modified:	19 Sep 2010 05:29
URI:	http://eprints.iisc.ac.in/id/eprint/19680

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