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A Literature Review on the MPPT Techniques Applied in Wind Energy Harvesting System

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Intelligent Computing & Optimization (ICO 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 371))

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Abstract

Wind energy harvesting system (WEHS) is one of the promising renewable energy system (RES) that generates clean energy to power the grid or stand-alone load located at remote areas connected through the power electronic devices. Wind turbines convert kinetic energy created due to motion of wind to mechanical energy and then to electrical energy using generator. The output of PMSG varies depending on the variation of wind speed. The maximum power point tracking (MPPT) controller is used to drive the WEHS at the maximum speed that corresponds to optimum power at any wind speed. The works carried out by several researchers on modeling of WEHS using different MPPT techniques are reviewed as under. The detailed literature review on the MPPT techniques applied in WEHS is presented in this paper.

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Acknowledgements

The authors wish to extend their great gratitude to Punjabi university Patiala, and Ministry of science and higher education of Ethiopia.

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Authors and Affiliations

  1. Department of Mathematics, Bule Hora University, Bule Hora, Ethiopia

    Tigilu Mitiku

  2. Department of Mathematics, Punjabi University Patiala, Patiala, Punjab, India

    Mukhdeep Singh Manshahia

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  1. Tigilu Mitiku
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  2. Mukhdeep Singh Manshahia
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Editor information

Editors and Affiliations

  1. Faculty of Electrical & Electronic Engineering, MERLIN Research Centre, Ton Duc Thang University, Hồ Chí Minh City, Vietnam

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VÅ B TU Ostrava, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Mitiku, T., Manshahia, M.S. (2022). A Literature Review on the MPPT Techniques Applied in Wind Energy Harvesting System. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_73

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