Dr Nur Sarma nur.sarma@durham.ac.uk
Assistant Professor
Investigation of Doubly-fed Induction Generator Controller Signals under Variable Speed Operating Conditions
Sarma, N.
Authors
Abstract
The analysis of the controller signals of a doublyfed induction generator under variable speed operating conditions with and without generator faults is presented in the time domain in order to more accurately investigate the conditions presently experienced in wind turbines during operation. The presented study can be used to examine the capability of using the controller signals for condition monitoring and fault detection. A doubly-fed induction generator harmonic model developed in the Simulink environment is used for the investigation. It is shown that the controller signals have a high potential and could be an effective fault detection tool for wind turbine generators, as the identified changes with a fault are clearly identified especially when they are compared with the terminal signals, which are conventionally used for condition monitoring and fault detection purposes.
Citation
Sarma, N. (2022, September). Investigation of Doubly-fed Induction Generator Controller Signals under Variable Speed Operating Conditions. Presented at 2022 11th International Conference on Renewable Energy Research and Application (ICRERA), Istanbul, Turkey
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2022 11th International Conference on Renewable Energy Research and Application (ICRERA) |
Start Date | Sep 18, 2022 |
End Date | Sep 21, 2022 |
Acceptance Date | Aug 1, 2022 |
Online Publication Date | Oct 25, 2022 |
Publication Date | Oct 25, 2022 |
Deposit Date | Nov 1, 2022 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | 2022 11th International Conference on Renewable Energy Research and Application (ICRERA) |
DOI | https://doi.org/10.1109/icrera55966.2022.9922900 |
Public URL | https://durham-repository.worktribe.com/output/1135671 |
Publisher URL | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9922900 |
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