Title :
Performance improvement of Power System Stabilizer by genetic algorithm for one machine infinite bus system
Author :
Babaei, A. ; Razavi, S.E. ; Kamali, S.A. ; Gholami, A.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
Principle role of a Power System Stabilizer (PSS) is to increase damping of oscillations of generator rotor by control of its excitation by using of auxiliary stabilizer signals. The design of a PSS can be performed by suitable state and optimum feedback that roots of case study is transferred to suitable points as designed results. As the large searching techniques, Genetic Algorithms (GA) is global search techniques to provide a powerful tool for optimization problems by optimizing the mechanisms of natural selection and genetics. To fast accessing of desired results, this paper used a modified Genetic Algorithm for suitable designing of stabilizer. Finally, the advantages of the proposed method are illustrated by numerical simulation of the one machines-infinite-bus power systems.
Keywords :
electric generators; feedback; genetic algorithms; power system control; power system stability; auxiliary stabilizer signals; generator rotor oscillation damping; genetic algorithm; global search techniques; machine-infinite-bus power system; optimum feedback controller; power system stabilizer; Algorithm design and analysis; Control systems; Damping; Genetic algorithms; Power generation; Power system control; Power systems; Rotors; Signal generators; State feedback; Genetic Algorithm; Optimum feedback controller; Power System Stabilizer; State feedback controller;
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
DOI :
10.1109/UPEC.2007.4468972