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FPGA Implementation of High-Efficiency Dynamic MPPT Controller for Wind Energy Conversion System Using Neural Network

  • Research Article-Electrical Engineering
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Abstract

This paper presents a dynamic maximum power point tracking controller for a wind energy conversion system (WECS) with a battery storage system (BSS). Here, the multilayer feed-forward neural network (MLFF-NN) is used to generate the duty cycle for the DC-DC boost converter and tracks the maximum power from the WECS, whereas the charge controller is used to control the bi-directional converter of BSS to compensate for the uncertainty in the wind conversion system and load changes. Initially, a conventional P&O algorithm is implemented and obtained data are used to train the MLFF-NN with various combinations of input parameters. The best combination of input parameters is selected based on structure, target MSE, epochs, and cost. The proposed controller replaces the conventional technique and provides accurate and dynamic tracking of maximum power for trained and untrained conditions which increase the efficiency of the system. The proposed work is implemented in MATLAB/Simulink platform and results are validated in a different condition. Also, an experimental setup is developed with a 1 kW rating of WECS, whereas in hardware to reduce the computational burden on FPGA, the Elliot function with 16-bit precision is realized without losing accuracy. Finally, the simulation and hardware results are verified and comparative analysis with other existing techniques is performed.

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Acknowledgements

This research was sponsored and funded by the Science and Engineering Research Board (SERB), Govt. of India, under File no. ECR/2017/000468.

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Authors and Affiliations

  1. Electrical and Electronics Engineering, National Institute of Technology Puducherry, Karaikal, 609609, India

    Mallikarjuna Golla & S. Thangavel

  2. Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Trichy, 620015, India

    Sishaj P. Simon

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  1. Mallikarjuna Golla
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  2. S. Thangavel
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Correspondence to Mallikarjuna Golla.

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Golla, M., Thangavel, S. & Simon, S.P. FPGA Implementation of High-Efficiency Dynamic MPPT Controller for Wind Energy Conversion System Using Neural Network. Arab J Sci Eng 47, 14491–14506 (2022). https://doi.org/10.1007/s13369-022-06814-5

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  • DOI: https://doi.org/10.1007/s13369-022-06814-5

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