Impedance Model Identification of DFIG-Based Wind Turbine Based on Neural Network
Author:
Affiliation:
1. Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806820/9806821/09807060.pdf?arnumber=9807060
Reference10 articles.
1. Online Grid Impedance Measurement Using Discrete-Interval Binary Sequence Injection
2. Reduced models of doubly fed induction generator system for wind turbine simulations
3. New Techniques for Measuring Impedance Characteristics of Three-Phase AC Power Systems
4. An algorithm and implementation system for measuring impedance in the D-Q domain
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3. Data-Driven Impedance Identification and Stability Online Assessment of DFIG-Based Wind Farm Integration with MMC-HVDC;2023 IEEE 6th International Electrical and Energy Conference (CIEEC);2023-05-12
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