2010
DOI: 10.1080/00051144.2010.11828364
|View full text |Cite
|
Sign up to set email alerts
|

A Takagi-Sugeno Fuzzy Model of Synchronous Generator Unit for Power System Stability Application

Abstract: Original scientific paperThis paper presents a Takagi-Sugeno (TS) synchronous generator unit model intended for application in an autotuning power system stabilizer. The model takes into account all three process variables that can affect synchronous machine dynamics regarding stability -beside usually used active and reactive power (P and Q) it includes also line reactance (xm). It is shown that the proposed model gives very good results in spite of simple third order local model used as the consequent part o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2012
2012
2017
2017

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 21 publications
0
2
0
Order By: Relevance
“…The T-S fuzzy model based method has some merits in that wide range of complex non-linear systems can be represented as a set of local linear models in the consequence part of the rule. Numerous works on control and signal processing have used various forms of T-S fuzzy model [4][5][6] . Specifically for power system control we found some successful works reported in references [4,7,8] .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The T-S fuzzy model based method has some merits in that wide range of complex non-linear systems can be represented as a set of local linear models in the consequence part of the rule. Numerous works on control and signal processing have used various forms of T-S fuzzy model [4][5][6] . Specifically for power system control we found some successful works reported in references [4,7,8] .…”
Section: Introductionmentioning
confidence: 99%
“…Numerous works on control and signal processing have used various forms of T-S fuzzy model [4][5][6] . Specifically for power system control we found some successful works reported in references [4,7,8] .…”
Section: Introductionmentioning
confidence: 99%