TY - EJOUR
AU - Bhookya, Nagu
AU - V, RamanaRao P.
AU - Sydulu, M.
PY - 2024
DA - February
TI - Improvement of Power System Stability using Artificial Neural Network based HVDC Controls
T2 - Majlesi Journal of Electrical Engineering
VL - 7
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/improvement-of-power-system-stability-using-artificial-neural-network-based-hvdc-controls/
N2 - 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.
IS - 2
PB - OICC Press
KW - Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . ,, Department of Electrical Engineering, NIT-Warangal 
EN -