Analysis of Wind Energy System Using Neural Network Controller
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0763-8_25
Reference19 articles.
1. Datta R, Ranganathan VT (2017) A method of tracking the peak power points for a variable speed wind energy conversion system. IEEE Trans Energy Convers 18(1):163–168
2. Poultangari I, Shahnaz R, Sheikhan M (2018) RBF neural network based PI pitch controller for a class of 5-MW wind turbines using particle swarm optimization algorithm. ISA Trans 51(5):641–648
3. Chen J, Yang B, Duan W, Shu H, Chen L, Yu T (2021) Adaptive pitch control of variable-pitch PMSG based wind turbine. J Appl Sci 9(19):4109
4. Muljadi E, Butterfield CP (2005) Pitch-controlled variable-speed wind turbine generation. IEEE Trans Ind Appl 37(1):240–246
5. Abdulhamed H, Katebi R (2012) Wind turbine control using pi pitch angle controller. In: IFAC proceedings volumes
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