the artificial power system networks stability control using the technology of neural network

Clicks: 52
ID: 144774
2019
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Ranked #24 of 28 articles by views in asian economic and financial review

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Abstract
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.
Reference Key
m-n2019e3sthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Alzakkar A M-N;Valeev I.M.;Mestnikov N.P.;Nurullin E.G.
Journal asian economic and financial review
Year 2019
DOI
10.1051/e3sconf/201912405002
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