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A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

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  • Nguyen Van Tan

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

  • Nguyen Binh Nam

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

  • Nguyen Huu Hieu

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

  • Le Kim Hung

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

  • Minh Quan Duong

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

  • Le Hong Lam

    (Faculty of Electrical Engineering, The University of Danang—University of Science and Technology, Danang 550000, Vietnam
    54 Nguyen Luong Bang Street, Lien Chieu District, Danang 550000, Vietnam.
    These authors contributed equally to this work.)

Abstract

In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation ( Δ P P V ), voltage difference ( Δ V P V ), and duty cycle change ( Δ D ) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.

Suggested Citation

  • Nguyen Van Tan & Nguyen Binh Nam & Nguyen Huu Hieu & Le Kim Hung & Minh Quan Duong & Le Hong Lam, 2020. "A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid," Energies, MDPI, vol. 13(17), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4326-:d:401836
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    References listed on IDEAS

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    1. Gul Filiz Tchoketch Kebir & Cherif Larbes & Adrian Ilinca & Thameur Obeidi & Selma Tchoketch Kebir, 2018. "Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller," Energies, MDPI, vol. 11(12), pages 1-20, November.
    2. Bendib, Boualem & Belmili, Hocine & Krim, Fateh, 2015. "A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 637-648.
    3. Tingting Pei & Xiaohong Hao & Qun Gu, 2018. "A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions," Energies, MDPI, vol. 11(10), pages 1-16, October.
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    Cited by:

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    2. Mwaka I. Juma & Bakari M. M. Mwinyiwiwa & Consalva J. Msigwa & Aviti T. Mushi, 2021. "Design of a Hybrid Energy System with Energy Storage for Standalone DC Microgrid Application," Energies, MDPI, vol. 14(18), pages 1-15, September.

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