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
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th International Power Engineering Conference |
| Place of Publication | Singapore |
| Publisher | Nanyang Technological University |
| Pages | 75-80 |
| Number of pages | 6 |
| ISBN (Print) | 9810487908 |
| Publication status | Published - 2003 |
| Event | 6th International Power Engineering Conference - Singapore, Singapore Duration: 27 Nov 2003 → 29 Nov 2003 Conference number: 6 |
Conference
| Conference | 6th International Power Engineering Conference |
|---|---|
| Abbreviated title | IPEC 2003 |
| Country | Singapore |
| City | Singapore |
| Period | 27/11/03 → 29/11/03 |
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Cite this
Salman, S. K., & King, D. J. (2003). Development of an artificial neural network based relay to detect islanding condition of embedded generation. In Proceedings of the 6th International Power Engineering Conference (pp. 75-80). Nanyang Technological University.