MPPT and Pitch Angle Based on Neural Network Control of Wind Turbine Equipped with DFIG for All Operating Wind Speed Regions
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73882-2_129
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3. Bekakra Y, Attous DB (2014) Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT. Int J Syst Assur Eng Manag 5(3):219−229
4. Boubzizi S, Abid H, El hajjaji A, Chaabane M (2018) Comparative study of three types of controllers for DFIG in wind energy conversion system. Prot Control Mod Power Syst 3(1):21
5. Reddak M, Berdai A, Nouaiti A, Vlasenko V (2018) Collaboration of nonlinear control strategy and pitch angle control of DFIG equipped wind turbine during all operating regions. Int J Comput Appl 179(25):16−21
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1. Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer;Engineering Applications of Artificial Intelligence;2022-05
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