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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/1249

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Title: Development of an artificial neural network based relay to detect islanding condition of embedded generation
Authors: Salman, S. K.
King, David J.
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Embedded generation
Loss of mains protection
Islanding
Modelling
EMTP
Issue Date: 2003
Publisher: Nanyang Technological University, Singapore
Type: Conference Paper
Refereed: peer-reviewed
Rights: Published version (c)Nanyang Technological University, Singapore
Citation: Salman, S.K. and King, D.J. 2003. Development of an artificial neural network based relay to detect islanding condition of embedded generation. Proceedings of the 6th International Power Engineering Conference: IPEC 2003, Singapore, 27-29 November 2003. pp.75-80
Abstract: With the increase of number of embedded generators (EGs) in public utility networks the need for adequate protection schemes has become extremely important. In particular, safety problems that arise due to loss of mains (LOM), and the inability of current protection, under certain circumstances, to detect it means that there is a lot of current research into possible alternative methods for detecting LOM. Also, the use of artificial intelligence (AI) in power system operation is becoming widespread. In particular, artificial neural networks (ANN) are being developed to tackle a number of power system control and protection problems. One of the most important things to consider when using ANN is deciding upon appropriate and relevant training/testing data. This paper results from a project to find a new method of detection of LOM for EG using ANN, and outlines the methods used to develop suitable training/testing data
URI: http://hdl.handle.net/10373/1249
ISBN: 9810487908
Appears in Collections:Computing & Engineering Systems Collection

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