E3S Web Conf.
Volume 124, 2019International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
|Number of page(s)||4|
|Published online||10 February 2020|
The Artificial Power System Networks Stability Control Using the Technology of Neural Network
Institute of Electrical Engineering, KSPEU, Kazan, Krasnoselskaya Street 51, Russia
2 Institute of Heat Power Engineering, KSPEU, Kazan, Krasnoselskaya Street 51, Russia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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