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Design of fuzzy logic controller for fused Luo converter based solar/wind hybrid green energy system

Author

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  • S. M. Shyni

    (Sathyabama Institute of Science and Technology)

  • R. Ramadevi

    (Sathyabama Institute of Science and Technology)

Abstract

Nowadays, power shortage has become a massive problem, especially in southern parts of India which could not be met by conventional power generation. The challenging task of obtaining continuous power leads to the focus on green energy sources. Green energy sources are pollution free, available at free of cost and easily accessible even in remote areas. But the output of these systems is highly variable due to uncertainty of weather conditions. So, we are focusing on the hybrid combination of solar/wind generation system to extract maximum power. Power electronic DC/DC converters are employed to produce a regulated output voltage. Dual port Luo converter has been used for the efficient power management of solar/wind sources and load integration. A three-phase induction motor has been interfaced at the load as an application part of the proposed converter. The performance of the converter is analyzed and evaluated using MATLAB and Simulink. Then, a suitable controller is proposed for renewable energy based household application. Here, fuzzy logic controller is applied to get a regulated DC output. Hardware implementation of fused Luo topology is done using FPGA-Mojo-3 controller, and an output of 9.8 V and 1.01A is obtained.

Suggested Citation

  • S. M. Shyni & R. Ramadevi, 2022. "Design of fuzzy logic controller for fused Luo converter based solar/wind hybrid green energy system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9199-9222, July.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:7:d:10.1007_s10668-021-01820-3
    DOI: 10.1007/s10668-021-01820-3
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    References listed on IDEAS

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    1. Chua, Kein Huat & Lim, Yun Seng & Morris, Stella, 2017. "A novel fuzzy control algorithm for reducing the peak demands using energy storage system," Energy, Elsevier, vol. 122(C), pages 265-273.
    2. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2009. "Assessment of sustainability indicators for renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1082-1088, June.
    3. Shivarama Krishna, K. & Sathish Kumar, K., 2015. "A review on hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 907-916.
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