An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system
Journal of Engineering, Design and Technology
ISSN: 1726-0531
Article publication date: 15 October 2021
Abstract
Purpose
The purpose of this paper is to track the maximal power of wind energy conversion system (WECS) and enhance the search capability for WECS maximum power point tracking (MPPT).
Design/methodology/approach
The hybrid technique is the combination of tunicate swarm algorithm (TSA) and radial basis function neural network.
Findings
TSA gets input parameters from the rectifier outputs such as rectifier direct current (DC) voltage, DC current and time. From the input parameters, it enhances the reduced fault power of rectifier and generates training data set based on the MPPT conditions. The training data set is used in radial basis function. During the execution time, it produces the rectifier reference DC side voltage that is converted to control pulses of inverter switches.
Originality/value
Finally, the proposed method is executed in MATLAB/Simulink site, and the performance is compared with different existing methods like particle swarm optimization algorithm and hill climb searching technique. Then the output illustrates the performance of the proposed method and confirms its capability to solve issues.
Keywords
Acknowledgements
Retraction notice: The publisher of the Journal of Engineering, Design and Technology wishes to retract the following article by Paulthurai Rajesh, Francis H. Shajin, and Kumar Cherukupalli (2021), ‘An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system’, published in the Journal of Engineering, Design and Technology, Vol. ahead-of-print, No. ahead-of-print, https://doi.org/10.1108/JEDT-12-2020-0494. Concerns were raised regarding the identity of the authors and the originality of the research; the authors were asked to provide details of their collaboration on this article and the data used to create it, but were unable to offer sufficient description of either; as a result the findings of the paper cannot be relied upon and the standard of the article does not meet that expected by the journal. The authors would like it to be noted that they are not in agreement with this retraction. The publisher of the journal sincerely apologises to the readers.
Citation
Rajesh, P., Shajin, F.H. and Cherukupalli, K. (2021), "An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system", Journal of Engineering, Design and Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEDT-12-2020-0494
Publisher
:Emerald Publishing Limited
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