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Evaluation of a Distributed Photovoltaic System in Grid-Connected and Standalone Applications by Different MPPT Algorithms

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  • Ru-Min Chao

    (Department of Systems and Naval Mechatronics Engineering, NCKU, Tainan 701, Taiwan
    Research Center for Energy Technology and Strategy, NCKU, Tainan 701, Taiwan)

  • Shih-Hung Ko

    (Department of Systems and Naval Mechatronics Engineering, NCKU, Tainan 701, Taiwan)

  • Hung-Ku Lin

    (Department of Systems and Naval Mechatronics Engineering, NCKU, Tainan 701, Taiwan)

  • I-Kai Wang

    (Department of Systems and Naval Mechatronics Engineering, NCKU, Tainan 701, Taiwan)

Abstract

Due to the shortage of fossil fuel and the environmental pollution problem, solar energy applications have drawn a lot of attention worldwide. This paper reports the use of the latest patented distributed photovoltaic (PV) power system design, including the two possible maximum power point tracking (MPPT) algorithms, a power optimizer, and a PV power controller, in grid-connected and standalone applications. A distributed PV system with four amorphous silicon thin-film solar panels is used to evaluate both the quadratic maximization (QM) and the Steepest descent (SD) MPPT algorithms. The system’s design is different for the QM or the SD MPPT algorithm being used. The test result for the grid-connected silicon-based PV panels will also be reported. Considering the settling time for the power optimizer to be 20 ms, the test result shows that the tracking time for the QM method is close to 200 ms, which is faster when compared with the SD method whose tracking time is 500 ms. Besides this, the use of the QM method provides a more stable power output since the tracking is restricted by a local power optimizer rather than the global tracking the SD method uses. For a standalone PV application, a solar-powered boat design with 18 PV panels using a cascaded MPPT controller is introduced, and it provides flexibility in system design and the effective use of photovoltaic energy.

Suggested Citation

  • Ru-Min Chao & Shih-Hung Ko & Hung-Ku Lin & I-Kai Wang, 2018. "Evaluation of a Distributed Photovoltaic System in Grid-Connected and Standalone Applications by Different MPPT Algorithms," Energies, MDPI, vol. 11(6), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1484-:d:151105
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    1. Mohapatra, Alivarani & Nayak, Byamakesh & Das, Priti & Mohanty, Kanungo Barada, 2017. "A review on MPPT techniques of PV system under partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 854-867.
    2. Ishaque, Kashif & Salam, Zainal, 2013. "A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 475-488.
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    2. Abdessattar Jendoubi & Chedly Ben Bella & Walid Nsibi & Faouzi Bacha, 2018. "The Impact of Climate Condition on the Optimal Operation of Direct Coupled Photovoltaic Solar-Vehicle Systems," Energies, MDPI, vol. 11(7), pages 1-18, July.
    3. Mehdi Seyedmahmoudian & Gokul Sidarth Thirunavukkarasu & Elmira Jamei & Tey Kok Soon & Ben Horan & Saad Mekhilef & Alex Stojcevski, 2020. "A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    4. Ali Faisal Murtaza & Hadeed Ahmed Sher & Filippo Spertino & Alessandro Ciocia & Abdullah M. Noman & Abdullrahman A. Al-Shamma’a & Abdulaziz Alkuhayli, 2021. "A Novel MPPT Technique Based on Mutual Coordination between Two PV Modules/Arrays," Energies, MDPI, vol. 14(21), pages 1-15, October.
    5. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Somashree Pathy & C. Subramani & R. Sridhar & T. M. Thamizh Thentral & Sanjeevikumar Padmanaban, 2019. "Nature-Inspired MPPT Algorithms for Partially Shaded PV Systems: A Comparative Study," Energies, MDPI, vol. 12(8), pages 1-21, April.

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