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

页码：92 / 95

页数：4