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A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Author

Listed:
  • Anjan Debnath

    (Electrical and Computer Engineering, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA)

  • Temitayo O. Olowu

    (Electrical and Computer Engineering, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA)

  • Imtiaz Parvez

    (Electrical and Computer Engineering, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA)

  • Md Golam Dastgir

    (Electrical and Computer Engineering, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA)

  • Arif Sarwat

    (Electrical and Computer Engineering, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA)

Abstract

The maximum power point tracking (MPPT) algorithm has become an integral part of many charge controllers that are used in photovoltaic (PV) systems. Most of the existing algorithms have a compromise among simplicity, tracking speed, ability to track accurately, and cost. In this work, a novel “straight-line approximation based Maximum Power Point (MPP) finding algorithm” is proposed where the intersections of two linear lines have been utilized to find the MPP, and investigated for its effectiveness in tracking maximum power points in case of rapidly changing weather conditions along with tracking speed using standard irradiance and temperature curves for validation. In comparison with a conventional Perturb and Observe ( P&O ) method, the Proposed method takes fewer iterations and also, it can precisely track the MPP s even in a rapidly varying weather condition with minimal deviation. The Proposed algorithm is also compared with P&O algorithm in terms of accuracy in duty cycle and efficiency. The results show that the errors in duty cycle and power extraction are much smaller than the conventional P&O algorithm.

Suggested Citation

  • Anjan Debnath & Temitayo O. Olowu & Imtiaz Parvez & Md Golam Dastgir & Arif Sarwat, 2020. "A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 13(12), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3233-:d:374806
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    References listed on IDEAS

    as
    1. Temitayo O. Olowu & Aditya Sundararajan & Masood Moghaddami & Arif I. Sarwat, 2018. "Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey," Energies, MDPI, vol. 11(7), pages 1-32, July.
    2. Rizzo, Santi Agatino & Scelba, Giacomo, 2015. "ANN based MPPT method for rapidly variable shading conditions," Applied Energy, Elsevier, vol. 145(C), pages 124-132.
    3. Alva, Guruprasad & Liu, Lingkun & Huang, Xiang & Fang, Guiyin, 2017. "Thermal energy storage materials and systems for solar energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 693-706.
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    Cited by:

    1. Hoon Lee & Jin-Wook Kang & Bong-Yeon Choi & Kyung-Min Kang & Mi-Na Kim & Chang-Gyun An & Junsin Yi & Chung-Yuen Won, 2021. "Energy Management System of DC Microgrid in Grid-Connected and Stand-Alone Modes: Control, Operation and Experimental Validation," Energies, MDPI, vol. 14(3), pages 1-26, January.
    2. Muhammad Mateen Afzal Awan & Aamer Bilal Asghar & Muhammad Yaqoob Javed & Zsolt Conka, 2023. "Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    3. Muhammad Mateen Afzal Awan & Muhammad Yaqoob Javed & Aamer Bilal Asghar & Krzysztof Ejsmont, 2022. "Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System," Energies, MDPI, vol. 15(6), pages 1-31, March.

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