Abstract
Loss of mains is a condition whereby an
embedded/distributed generator becomes islanded with part
of a public load. This is usually caused by disturbances on
the associated utility network which results in having an EG
(embedded generation) to become “islanded” with a public
load. This condition is highly undesirable and should be
correctly detected in order to ensure the tripping of the
generator affected by such conditions. Currently the two
methods most commonly in use to detect LOM (loss of
mains) utilise ROCOF (rate of change of frequency) and
PDM (vector surge) techniques, either on their own, or in
tandem. However, these methods have not proved to be
totally reliable. This paper reports the development of a new
relay for detecting LOM. It is based on the application of
artificial neural network (ANN). Two ANN architectures
have been considered; one based on multi-layer perceptron
approach while the other based on a non-layered approach
using NeuralWorks Predict features.
Original language | English |
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Pages (from-to) | 24-28 |
Number of pages | 5 |
Journal | The International Journal of Innovations in Energy Systems and Power |
Volume | 1 |
Issue number | 1 |
Publication status | Published - Nov 2006 |