TY - EJOUR
AU - Esfahani, Ebrahim Nasr
AU - Abazari, Saeed
AU - Arab, Cholamreza
PY - 2024
DA - February
TI - A New Fuzzy-neural STATCOM Controller for Transient Stability Improvement in
T2 - Majlesi Journal of Electrical Engineering
VL - 3
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/a-new-fuzzy-neural-statcom-controller-for-transient-stability-improvement-in/
DO - 10.1234/mjee.v3i2.289
N2 - In this paper a neuro-fuzzy controller is proposed to enhance transient stability and increase critical clearing time (CCT) in the static synchronous compensator (STATCOM). For achieving this idea, first the controller is designed based on the Lyapunov energy function. In order to avoid complexity of computation and overcome system uncertainty a neuro-fuzzy controller is proposed. In this controller, neural network determines the system rules and membership functions. In order to design a neural network and its training patterns, the energy function controller is used under various system conditions. This controller has learning abilities due to its robust fuzzy controller and neural network. Simulation results on the single-machine infinite-bus (SMIB) show that the neuro-fuzzy controller damps electromechanical oscillations and increases the critical clearing time.
IS - 2
PB - OICC Press
KW - Transient stability, Lyapanov Energy Fuction, Fuzzy Neural., STATCOM 
EN -