dc.contributor.author |
Arachchige, LNW |
|
dc.contributor.author |
Rajapakse, AD |
|
dc.contributor.author |
Muthumuni, D |
|
dc.date.accessioned |
2023-03-13T09:12:30Z |
|
dc.date.available |
2023-03-13T09:12:30Z |
|
dc.date.issued |
2017 |
|
dc.identifier.citation |
Widanagama Arachchige, L. N., Rajapakse, A. D., & Muthumuni, D. (2017). Implementation, Comparison and Application of an Average Simulation Model of a Wind Turbine Driven Doubly Fed Induction Generator. Energies, 10(11), Article 11. https://doi.org/10.3390/en10111726 |
en_US |
dc.identifier.issn |
1996-1073 |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/20716 |
|
dc.description.abstract |
Wind turbine driven doubly-fed induction generators (DFIGs) are widely used in the wind
power industry. With the increasing penetration of wind farms, analysis of their effect on power
systems has become a critical requirement. This paper presents the modeling of wind turbine driven
DFIGs using the conventional vector controls in a detailed model of a DFIG that represents power
electronics (PE) converters with device level models and proposes an average model eliminating the
PE converters. The PSCAD/EMTDC™ (4.6) electromagnetic transient simulation software is used to
develop the detailed and the proposing average model of a DFIG. The comparison of the two models
reveals that the designed average DFIG model is adequate for simulating and analyzing most of the
transient conditions. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.subject |
average simulation model |
en_US |
dc.subject |
doubly-fed induction generator |
en_US |
dc.subject |
DFIG mode |
en_US |
dc.subject |
electromagnetic transients |
en_US |
dc.subject |
wind turbine |
en_US |
dc.title |
Implementation, comparison and application of an average simulation model of a wind turbine driven doubly fed induction generator |
en_US |
dc.type |
Article-Full-text |
en_US |
dc.identifier.year |
2017 |
en_US |
dc.identifier.journal |
Energies |
en_US |
dc.identifier.issue |
11 |
en_US |
dc.identifier.volume |
10 |
en_US |
dc.identifier.database |
MDPI |
en_US |
dc.identifier.pgnos |
1-25 |
en_US |
dc.identifier.email |
lidulan@uom.lk |
en_US |
dc.identifier.doi |
https://doi.org/10.3390/en10111726 |
en_US |