Integration design of fuzzy system using genetic algorithm for improvement of voltage profile with Static VAR Compensator

被引：0
|
作者：
Saeidpour, E. [1 ]
Abedi, M. [1 ]
Parizy, V. S. [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran 15914, Iran
来源：
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL I | 2008年
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D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper proposed control of Static VAR Compensator (SVC) for improvement if 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 vi,e can't use usual method for designation. We used from MATLAB simulator, for our simulations.
引用
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页码：235 / 240
页数：6
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