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Fuzzy Logic Method Based MPPT Controller for Solar Energy Generation

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Innovations in Cyber Physical Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 788))

Abstract

The power demand has been rising gradually because of various industrial developments, population growth. To fulfill the demand of power is a challenging factor for power generation based on fossil fuel alone and the various environmental issues like carbon footprint. To fulfill the demand of power consumption in the world, alternative energy sources can be used. In this paper, the operation of a photovoltaic cell is performed under different conditions of environment. Using fuzzy logic controller, the MPPT controller has been developed based on the performance of PV cell. A fuzzy logic based algorithm is proposed in this paper for tracking optimal power. Modeling and analysis of various subsystems and components has been done in this work. We have tested the models toward validation and connected various models to form an MPPT model that has optimum power.

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Author information

Authors and Affiliations

  1. JIET Jodhpur, Jodhpur, India

    Sunny Deol & Shrawan Ram Patel

  2. Department of Informatics, School of CS, University of Petroleum and Energy Studies (UPES), Dehradun, India

    Tanupriya Choudhury

Authors
  1. Sunny Deol
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  2. Shrawan Ram Patel
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  3. Tanupriya Choudhury
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, India

    Jawar Singh

  2. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Sudhir Kumar

  3. Department of Electrical and Electronics, Rajkumar Goel Institute of Technology, Ghaziabad, India

    Umakanta Choudhury

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Deol, S., Patel, S.R., Choudhury, T. (2021). Fuzzy Logic Method Based MPPT Controller for Solar Energy Generation. In: Singh, J., Kumar, S., Choudhury, U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-16-4149-7_5

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  • DOI: https://doi.org/10.1007/978-981-16-4149-7_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4148-0

  • Online ISBN: 978-981-16-4149-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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