Improvement of Power System Stability using Artificial Neural Network based HVDC Controls

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  • Nagu Bhookya1,
  • RamanaRao P. V2,
  • M. Sydulu2,
  1. Andhra Pradesh, India - 506004
  2. National Institute of Technology-Warangal/Dept. of Electrical Engineering, Warangal, India

Published in Issue 2024-02-25

How to Cite

Bhookya, N., P. V, R., & Sydulu, M. (2024). Improvement of Power System Stability using Artificial Neural Network based HVDC Controls. Majlesi Journal of Electrical Engineering, 7(2). https://oiccpress.com/mjee/article/view/5236

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Abstract

In this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a neural network controller is developed to improve the stability of the power system and to improve the response time of the controller to the changing conditions in power system. The results show the application of the neural network controller in AC-DC power systems.

Keywords

  • Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . ,,
  • Department of Electrical Engineering,
  • NIT-Warangal
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