2018
DOI: 10.5815/ijisa.2018.10.08
|View full text |Cite
|
Sign up to set email alerts
|

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

Abstract: In this paper, power quality at the distribution system has been examined by introducing an observer based control technique with fuzzy logic controller for wind energy conversion systems with constant wind velocity, for combination of linear, nonlinear loads and with load removal in one of the phases. The power quality improvement, including voltage regulation and reactive power management on the distribution side is achieved and the device used here is a distributed static compensator (DSTATCOM) a voltage so… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
2
2
2

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…Te application of the fuzzy logic control method can improve this situation. When designing the controller according to the "frequency domain method" of classical control theory and the "time-domain method" of modern control theory, it is necessary to know the precise mathematical model of the controlled object [16,17]. Although adaptive and self-tuning control greatly reduces the requirements for modeling accuracy, it requires a large number of prior data and online model identifcation with complex algorithms and high computational complexity, which limits its application.…”
Section: Quality Control Strategy For Noncontact Instrument Testingmentioning
confidence: 99%
“…Te application of the fuzzy logic control method can improve this situation. When designing the controller according to the "frequency domain method" of classical control theory and the "time-domain method" of modern control theory, it is necessary to know the precise mathematical model of the controlled object [16,17]. Although adaptive and self-tuning control greatly reduces the requirements for modeling accuracy, it requires a large number of prior data and online model identifcation with complex algorithms and high computational complexity, which limits its application.…”
Section: Quality Control Strategy For Noncontact Instrument Testingmentioning
confidence: 99%