Neurofuzzy power system stabilizer

被引：45
|
作者：
Chaturvedi, D. K. [1 ]
Malik, O. P. [2 ]
机构：
[1] Fac Engn, Dept Elect Engn, Agra 282005, Uttar Pradesh, India
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2008年 / 23卷 / 03期
关键词：
artificial neural networks (ANN); fuzzy logic; generalized neuron; intelligent controllers; neurofuzzy; power system stabilizer (PSS);
D O I：
10.1109/TEC.2008.918633
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：
An adaptive, fuzzy logic power system stabilizer (AF-PSS) consisting of a generalized neuron (GN)-based predictor and a fuzzy logic controller (FLC) is described. The inference mechanism of the FLC is represented by a rule-base and a database. Two parameters, decided on the basis of the GN-predictor output and the current system conditions, are used to tune the AFPSS. This mechanism of tuning makes the fuzzy logic-based power system stabilizer adaptive to changes in the operating conditions. Therefore, variation in the system response, under a wide range of operating conditions, is less compared to the system response with a fixed-parameter conventional PSS. The performance of the AFPSS has been tested by simulation and experimental studies.
引用
收藏
页码：887 / 894
页数：8
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