Abstract
In this paper, fuzzy logic and radial basis function-oriented (RBF) neural network controller is implemented and compared for a 2 MW wind turbine which operates in the region-II wind speed. Here, through the use of collective pitch angle, generator power is controlled in region-II wind speed zone. The novelty of this paper is the turbine output power quality that is compared using PI, fuzzy logic, and RBFNN. The wind turbine and all of its accessories are designed using MATLAB/SIMULINK, and the control schemes are implemented to get the desired power output. From the obtained results, it is found that the RBF-oriented NN controller exhibits an excellent response compared to other existing technique to prove its superiority. The work is verified through the results of MATLAB/SIMULINK software.
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Sahoo, S. (2022). Power Control of a Variable Speed Wind Turbine Using RBF Neural Network Controller. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore. https://doi.org/10.1007/978-981-19-0901-6_45
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DOI: https://doi.org/10.1007/978-981-19-0901-6_45
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