DocumentCode :
3597989
Title :
Robust load frequency controller design via Genetic algorithm and H∞
Author :
Mandour, M. E-D ; Ali, E.S. ; Lotfy, M.E.
Author_Institution :
Electr. Power & Machine Dept., Zagazig Univ., Zagazig, Egypt
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
Three robust load frequency controllers are proposed in this paper. The first is based on H∞ control design in order to obtain robustness against uncertainties. The second controller is a reduced model to the H∞ controller because the first one is very complex for practical implementation. Genetic algorithm (GA) is used in the third controller to optimize proportional integral differential (PID) controller parameters. The proposed controllers are tested on two area power system model. The robustness of these controllers is investigated through parameter variations and changing the magnitude of load disturbances. A comparative study results is made between all controllers to demonstrate the effectiveness and robustness of these controllers.
Keywords :
H control; genetic algorithms; load regulation; power system simulation; three-term control; H∞ control design; PID; genetic algorithm; load disturbances; power system model; proportional integral differential controller parameters; robust load frequency controller design; Convergence; Frequency control; Genetic algorithms; Oscillators; Power systems; Robustness; Turbines; Genetic Algorithm (GA); H∞ Control; Load Frequency Control (LFC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Electric Power Systems (MEPS), 2010 Proceedings of the International Symposium
Print_ISBN :
978-83-921315-7-1
Type :
conf
Filename :
6007257
Link To Document :
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