Potential Maximum Power Estimation for Wind Farms Based on LSTM Neural Network
Author:
Affiliation:
1. School of Automation, Nanjing University of Science and Technology,Nanjing,China
2. System and New Energy Center State Grid Jiangsu Electric Power Co.,Ltd., Research Institute,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330799/10330806/10331403.pdf?arnumber=10331403
Reference13 articles.
1. Challenges, strategies and opportunities for wind farm incorporated power systems: a review with bibliographic coupling analysis
2. A coordinative optimization method of active power and fatigue distribution in onshore wind farms
3. A Stationary Turbine Interaction Model for Control of Wind Farms
4. Distributed Torque Control of Deloaded Wind DFIGs for Wind Farm Power Output Regulation
5. Strategies for Operating Wind Power in a Similar Manner of Conventional Power Plant
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