A Novel Neuro-Fuzzy Based Direct Power Control of a DFIG based Wind Farm Incorporated with Distance Protection Scheme and LVRT Capability
Author:
Affiliation:
1. Lakehead University, LU-GC program,Department of Electrical Engineering,Barrie,ON,Canada,L4M 3X9
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9939685/9939671/09939684.pdf?arnumber=9939684
Reference20 articles.
1. Virtual Damping Flux-Based LVRT Control for DFIG-Based Wind Turbine
2. Coordinated Control Approaches for Low-Voltage Ride-Through Enhancement in Wind Turbines With Doubly Fed Induction Generators
3. Adaptive Neuro-Fuzzy Controller for Grid Voltage Dip Compensations of Grid Connected DFIG-WECS
4. Improved Direct Torque Control for a DFIG under Symmetrical Voltage Dip With Transient Flux Damping
5. Ride-Through Analysis of Doubly Fed Induction Wind-Power Generator Under Unsymmetrical Network Disturbance
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3. A Novel Intelligent Power Control Technique for a Type-3 Wind Energy Conversion System with LVRT Capability and Improved Dynamic Performance;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03
4. Neuro-Fuzzy Adaptive Direct Torque and Flux Control of a Grid-Connected DFIG-WECS With Improved Dynamic Performance;IEEE Transactions on Industry Applications;2023-11
5. Dynamic Stability Analysis of a Simplified Neuro-Fuzzy Direct Torque Control Scheme for a Grid-Connected DFIG-WECS with Improved Performance and Reduced Computation;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29
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