Machine Learning Based LVRT Enhancement of Wind Energy Conversion System using SFCL
Author:
Affiliation:
1. APJ Abdul Kalam Technological University,Rajiv Gandhi Institute of Technology,Dept. of Electrical Engineering,Kottayam,Kerala
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009902/10009925/10010345.pdf?arnumber=10010345
Reference8 articles.
1. Enhancement of LVRT Capability of DFIG-based Wind Turbines by Superconducting Fault Current Limiter
2. Low-voltage ride-through capability enhancement of DFIG-based wind turbine with a resistive-type SFCL connected in series with rotor winding
3. Enhancement of power system transient stability using superconducting fault current limiters
4. Improvement of Fault Ride Through Capability of DFIG-based Wind Turbine Systems Using Superconducting Fault Current Limiter
5. Real-time hardware emulation of WECS based on DFIG during unbalanced type-B and type-E voltage dips for enhanced low voltage ride-through
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