A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system-Reference-Cited by-同舟云学术

A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system

Published:2018-10-16 Issue:1 Volume:3 Page:
ISSN:2367-2617
Container-title:Protection and Control of Modern Power Systems
language:en
Short-container-title:Prot Control Mod Power Syst

Author:

Noureldeen Omar^ORCID,Hamdan I.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1186/s41601-018-0106-0.pdf

Reference30 articles.

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2. Boubzizi, S., Abid, H., El hajjaji, A., & Chaabane, M. (2018). Comparative study of three types of controllers for DFIG in wind energy conversion system. Protection and Control of Modern Power Systems, 3(21), 1–12.

3. Benbouzid, M., Muyeen, S., & Khoucha, F. (2015). An up-to-date review of low-voltage ride-through techniques for doubly-fed induction generator-based wind turbines. International Journal of Energy Conversion, 1(3), 1–9.

4. Jadhav, H. T., & Roy, R. (2013). A comprehensive review on the grid integration of doubly fed induction generator. International Journal of Electrical Power & Energy Systems, 49, 8–18.

5. Xie, D., Xu, Z., Yang, L., Østergaard, J., Xue, Y., & Wong, K. P. (2013). A comprehensive LVRT control strategy for DFIG wind turbines with enhanced reactive power support. IEEE Transactions on Power Systems, 28(3), 3302–3310.

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