DocumentCode :
2622933
Title :
Integration design of fuzzy system using genetic algorithm for improvement of voltage profile with Static VAR compensator
Author :
Saeidpour, E. ; Abedi, M. ; Parizy, V.S.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
fYear :
2008
fDate :
22-24 May 2008
Firstpage :
235
Lastpage :
240
Abstract :
This paper proposed control of static VAR compensator (SVC) for improvement of voltage profile with fuzzy controller that tuned with genetic algorithm. Our method integrated two design stages; determinations of membership function and rules consequent parameters, because these stages may not be independent, it´s important to consider them simultaneously to obtain optimal fuzzy systems. We present new method for insert genetic algorithm into fuzzy controller designation for non-linear and variable system. System equation is non-linear and not-clear and we can´t use usual method for designation. We used from MATLAB simulator, for our simulations.
Keywords :
fuzzy control; genetic algorithms; nonlinear control systems; power system control; static VAr compensators; voltage control; MATLAB simulator; fuzzy controller; fuzzy system; genetic algorithm; membership function; nonlinear system; static VAR compensator; variable system; voltage profile; Algorithm design and analysis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Genetic algorithms; Nonlinear control systems; Nonlinear equations; Static VAr compensators; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
Conference_Location :
Brasov
Print_ISBN :
978-1-4244-1544-1
Electronic_ISBN :
978-1-4244-1545-8
Type :
conf
DOI :
10.1109/OPTIM.2008.4602372
Filename :
4602372
Link To Document :
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