HYBRID CONTROL SYSTEM FOR AUTOMATIC VOLTAGE REGULATOR IN SMART GRID

被引：0
|
作者：
Ou, Ting-Chia [1 ]
Tsao, Ta-Peng [2 ]
Hong, Chih-Ming [3 ]
Chen, Chiung-Hsing [3 ]
机构：
[1] Inst Nucl Energy Res, Taoyuan 32546, Taiwan
[2] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 10608, Taiwan
[3] Natl Kaohsiung Marine Univ, Dept Elect Commun Engn, Kaohsiung 81157, Taiwan
来源：
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 | 2013年
关键词：
Fuzzy sliding mode; Radial basis function network (RBFN); Recurrent radial basis function network (RRBFN); STABILITY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).
引用
收藏
页码：1103 / 1108
页数：6
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