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
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