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
来源：
IEEE POWER ENGINEERING SOCIETY - 1999 WINTER MEETING, VOLS 1 AND 2 | 1999年
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.
引用
收藏
页码：92 / 95
页数：4
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