ANALYSIS OF ELECTRICAL SYSTEM USING ARTIFICIAL NEURAL NETWORK

Authors

  • KHUDAYOROV M. B. Tashkent State Technical University named after Islam Karimov
  • NORMAMATOV N. N Tashkent State Technical University named after Islam Karimov
  • ABDULLAYEV M. M. Tashkent State Technical University named after Islam Karimov
  • ABDIYEV R. E Tashkent State Technical University named after Islam Karimov

Keywords:

Artificial Neural Network, neuron, input,, ntermediate and output neurons,

Abstract

Electricity is undergoing unprecedented change. Recently, the use of artificial intelligence has become more and more important in all fields. In this paper, the determination of the voltage and voltage deviation angles in each bus when the active and reactive power loads on five busbars are given is solved using the Newton – Raphson and Artificial Neural Network methods. Also, the results obtained by the Artificial Neural Network method were compared with the Newton – Raphson method.

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Published

2021-01-22

Issue

Vol. 6 No. 10 (2020): journalnx

Section

Articles

License

Copyright (c) 2020 KHUDAYOROV M. B., NORMAMATOV N. N, ABDULLAYEV M. M., ABDIYEV R. E

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

ANALYSIS OF ELECTRICAL SYSTEM USING ARTIFICIAL NEURAL NETWORK. (2021). JournalNX - A Multidisciplinary Peer Reviewed Journal, 6(10), 148-152. https://repo.journalnx.com/index.php/nx/article/view/242