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Design and Implementation of a New Algorithm for Enhancing MPPT Performance in Solar Cells

Author

Listed:
  • Ehsan Norouzzadeh

    (Department of Electrical and Computer Engineering, Semnan University, Semnan 35131-19111, Iran)

  • Ahmad Ale Ahmad

    (Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

  • Meysam Saeedian

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

  • Gholamreza Eini

    (Department of Electrical and Computer Engineering, Arak University of Technology, Arak 38181-41167, Iran)

  • Edris Pouresmaeil

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

Abstract

This paper presents a new algorithm for improving the maximum power point tracking method in solar cells. The perturb and observe and the constant voltage algorithms are combined intelligently in order to have a fast response and a high power efficiency. Furthermore, a two-phase interleaved boost converter with a coupled inductor is used with the proposed algorithm. The input capacitor and inductor of this converter are much smaller than those of the conventional types of converters. Therefore, its inherent delay is too short. Computer simulations carried out in PowerSIM and experimental results using a 100 W prototype verify the superior performance of the proposed algorithm and converter. The operating principle and comparisons with the conventional algorithms and other methods are presented in this paper. Moreover, a cost function is presented to compare the new algorithm with the others. The experimental results show that the presented system tracks any changes in power in less than 10 ms, and a quick response to the maximum power point is achieved.

Suggested Citation

  • Ehsan Norouzzadeh & Ahmad Ale Ahmad & Meysam Saeedian & Gholamreza Eini & Edris Pouresmaeil, 2019. "Design and Implementation of a New Algorithm for Enhancing MPPT Performance in Solar Cells," Energies, MDPI, vol. 12(3), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:519-:d:203974
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    References listed on IDEAS

    as
    1. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.
    2. John Macaulay & Zhongfu Zhou, 2018. "A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System," Energies, MDPI, vol. 11(6), pages 1-15, May.
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    Cited by:

    1. Dalia Yousri & Thanikanti Sudhakar Babu & Dalia Allam & Vigna. K. Ramachandaramurthy & Eman Beshr & Magdy. B. Eteiba, 2019. "Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems," Energies, MDPI, vol. 12(18), pages 1-27, September.

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