An Intelligent Parameter Identification Method of DFIG Systems Using Hybrid Particle Swarm Optimization and Reinforcement Learning
Author:
Affiliation:
1. FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL, USA
2. The Zhejiang University-University of Illinois Urbana–Champaign Institute, Zhejiang University, Haining, China
Funder
FAMU-FSU College of Engineering and the Speech Processing and Data Analysis Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10474372.pdf?arnumber=10474372
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2. An Improved Control Strategy for DFIG Low Voltage Ride-Through Using Optimal Demagnetizing method
3. Transient Responses of the Doubly-Fed Induction Generator Wind Turbine under Grid Fault Conditions
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5. Using a support vector machine (SVM) to improve generalization ability of load model parameters
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