A neuro-fuzzy power system stabilizer with self-organizing map for multi-machine systems

被引：0
|
作者：
You, RH [1 ]
Nehrir, MH [1 ]
Eghbali, HJ [1 ]
机构：
[1] Montana State Univ, Dept Elect & Comp Engn, Bozeman, MT 59717 USA
来源：
2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS | 2002年
关键词：
power system stabilizer; fuzzy logic; neural network;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A neuro-fuzzy adaptive power system stabilizer with self-organizing map is proposed in this paper. The controller is divided into two subsystems, the self-tuning identifier with variable forgetting factor for the generator and the fuzzy logic-based adaptive controller tuned by neural network on-line. The parameters of the fuzzy logic based PSS are divided into two categories, so do the on-line training algorithms for updating the parameters. The effectiveness of the proposed PSS in increasing the damping of local and inter-area modes of oscillation is demonstrated in a one-machine-infinite-bus system and a two-area system.
引用
收藏
页码：1219 / 1224
页数：6
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