DocumentCode :
605160
Title :
Direct Adaptive Fuzzy Power System Stabilizer for a Multi-machine System
Author :
Hussein, T. ; Shamekh, A.
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. of Benghazi, Benghazi, Libya
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
33
Lastpage :
38
Abstract :
This paper presents a Direct adaptive Fuzzy technique as a Power System Stabilizer (DFPSS). The technique utilizes fuzzy systems directly as a controller that incorporates fuzzy control rules in the design of the control law. In direct adaptive control, the parameters of the controller are directly adjusted to reduce the norm of the output error that represents mismatch between the plant and the reference model. The main objective of the designed controller is to damp local and inter-area oscillations that normally occur following power system disturbance. The performance of the proposed technique is illustrated through simulation studies of a two-area four-machine system. The article also includes a performance comparison between DFPSS and a well-tuned conventional power system stabilizer (CPSS).
Keywords :
adaptive control; control system synthesis; fuzzy control; machine vector control; power system control; power system faults; power system stability; CPSS; DFPSS; control law design; controller parameter; conventional power system stabilizer; damp local oscillation; direct adaptive control; direct adaptive fuzzy power system stabilizer; direct adaptive fuzzy technique; fuzzy control rule; interarea oscillation; multimachine system; power system disturbance; two-area four-machine system; Adaptation models; Adaptive systems; Heuristic algorithms; Mathematical model; Oscillators; Power system stability; Rotors; Adaptive control; Direct integration algorithm; Fuzzy logic control; Power system stabilizer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.59
Filename :
6527385
Link To Document :
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