| Abstract: |
| The keys factor in making wind power one of the main power sources to meet the world’s growing energy demands
is the reliability improvement of wind turbines (WTs). However, the eventuality of fault occurrence on WT com
ponents cannot be avoided, especially for doubly-fed induction generator (DFIG) based WTs, which are operating
in severe environments. The maintenance need increases due to unexpected faults, which in turn leads to higher
operating cost and poor reliability. Extensive investigation into DFIG internal fault detection techniques has been
carried out in the last decade. This paper presents a detailed review of these techniques. It discusses the methods that
can be used to detect internal electrical faults in a DFIG stator, rotor, or both. A novel sorting technique is presented
which takes into consideration different parameters such as fault location, detection technique, and DFIG modelling.
The main mathematical representation used to detect these faults is presented to allow an easier and faster under
standing of each method. In addition, a comparison is carried out in every section to illustrate the main differences,
advantages, and disadvantages of every method and/or model. Some real monitoring systems available in the market
are presented. Finally, recommendations for the challenges, future work, and main gaps in the field of internal faults
in a DFIG are presented. This review is organized in a tutorial manner, to be an effective guide for future research for
enhancing the reliability of DFIG-based WTs. |
| Key words: DFIG, Wind turbines, Internal fault detection, Reliability improvement |
| DOI：10.1186/s41601-022-00236-z |
|
| Fund:Not applicable. |
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