DocumentCode
2270750
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
fYear
2011
fDate
20-23 Aug. 2011
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-1044-5
Type
conf
DOI
10.1109/ICEMS.2011.6073337
Filename
6073337
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