A fuzzy logic based adaptive power system stabilizer

被引:0
|
作者
Lu, J [1 ]
Nehrir, MH [1 ]
Pierre, DA [1 ]
机构
[1] Montana State Univ, Dept Elect & Comp Engn, Bozeman, MT 59717 USA
关键词
power system stabilizer; fuzzy logic; Prony analysis; genetic algorithm;
D O I
10.1109/PESW.1999.747431
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
This paper presents an approach. for designing fuzzy logic based adaptive power system stabilizers. In the initial design step, Prony analysis is used to identify linear models of a synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional power system stabilizer (PSS) are generated using the linearized models. From the operating point settings, a selection of fuzzy rules are derived to tune the stabilizer on line according to real-time measurements. Simulation studies of this fuzzy adaptive PSS show that it performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter conventional PSS.
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页码:92 / 95
页数:4
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