The Artificial Power System Networks Stability Control Using the Technology of Neural Network
In the present work, the electric voltage stability at Muharda station in Syria was studied during the normal and up to normal loading states. The results were obtained using artificial neural network, which consists of three layers (input-hidden-output). This network is characterized by the speed a...
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Published in: | E3S web of conferences Vol. 124; p. 5002 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
EDP Sciences
01-01-2019
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Online Access: | Get full text |
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Summary: | In the present work, the electric voltage stability at Muharda station in Syria was studied during the normal and up to normal loading states. The results were obtained using artificial neural network, which consists of three layers (input-hidden-output). This network is characterized by the speed and accuracy in processing before failure and supply turn-off, which may lead to economical problems. This study was carried out using two different generating schemes in this station (single double). The performance of this network consists of two stages: training stage (off-line) and testing stage (on-line), and a comparison between these stages is carried out, which leads to optimization the load in testing cases depending on the training data. |
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ISSN: | 2267-1242 2267-1242 |
DOI: | 10.1051/e3sconf/201912405002 |