Title :
Model predictive control to improve power system oscillations of SMIB with fuzzy logic controller
Author :
Ahmadzade, Behnam ; Shahgholian, Ghazanfar ; Tehrani, Farshad Mogharrab ; Mahdavian, Mehdi
Author_Institution :
Najafabad Branch, Islamic Azad Univ., Esfahan, Iran
Abstract :
In this paper, model predictive control and two methods of fuzzy logic control is used to improve the oscillations of a single machine infinite bus (SMIB) power system, equipped with UPFC. The FLC design by choosing the prepared parameters based on our knowledge of system operation. The MPC has two important functions. First, to predict based on model and second, to assign optimal control inputs for reaching desired control goals.
Keywords :
fuzzy control; optimal control; power system stability; predictive control; FLC design; MPC; SMIB; UPFC; fuzzy logic controller; model predictive control; optimal control; power system oscillations; single machine infinite bus power system; Damping; Equations; Fuzzy logic; Mathematical model; Oscillators; Power systems; Predictive models;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073337
