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A Novel MPPT Technique for Single Stage Grid-Connected PV Systems: T4S

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  • Luigi Costanzo

    (Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

  • Massimo Vitelli

    (Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

Abstract

In this paper, a novel maximum power point tracking (MPPT) technique, which has been named T4S (a technique based on the proper setting of the sign of the slope of the photovoltaic voltage reference signal), is presented and discussed. It is specifically designed with reference to a single-stage grid-connected PV system. Its performance is numerically compared with that of the well-known and widely used perturb and observe (P&O) MPPT technique. The results of the numerical simulations confirm the validity of the proposed MPPT technique which exhibited a slightly better performance, under stationary and also time-varying irradiance conditions. In addition, the T4S technique is characterized by the following features: it does not require explicit power detection or calculation and, moreover, it allows the tracking of the maximum average power injected into the grid rather than the tracking of the maximum instantaneous power extracted by the PV source.

Suggested Citation

  • Luigi Costanzo & Massimo Vitelli, 2019. "A Novel MPPT Technique for Single Stage Grid-Connected PV Systems: T4S," Energies, MDPI, vol. 12(23), pages 1-13, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4501-:d:291223
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    References listed on IDEAS

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    1. Saravanan, S. & Ramesh Babu, N., 2016. "Maximum power point tracking algorithms for photovoltaic system – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 192-204.
    2. Yang Du & Ke Yan & Zixiao Ren & Weidong Xiao, 2018. "Designing Localized MPPT for PV Systems Using Fuzzy-Weighted Extreme Learning Machine," Energies, MDPI, vol. 11(10), pages 1-10, October.
    3. Hua Li & Che Wen & Kuei-Hsiang Chao & Ling-Ling Li, 2017. "Research on Inverter Integrated Reactive Power Control Strategy in the Grid-Connected PV Systems," Energies, MDPI, vol. 10(7), pages 1-21, July.
    4. Mei Su & Chao Luo & Xiaochao Hou & Wenbin Yuan & Zhangjie Liu & Hua Han & Josep M. Guerrero, 2018. "A Communication-Free Decentralized Control for Grid-Connected Cascaded PV Inverters," Energies, MDPI, vol. 11(6), pages 1-18, May.
    5. 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.
    6. Kamran Zeb & Imran Khan & Waqar Uddin & Muhammad Adil Khan & P. Sathishkumar & Tiago Davi Curi Busarello & Iftikhar Ahmad & H. J. Kim, 2018. "A Review on Recent Advances and Future Trends of Transformerless Inverter Structures for Single-Phase Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 11(8), pages 1-34, July.
    7. Lan Li & Hao Wang & Xiangping Chen & Abid Ali Shah Bukhari & Wenping Cao & Lun Chai & Bing Li, 2019. "High Efficiency Solar Power Generation with Improved Discontinuous Pulse Width Modulation (DPWM) Overmodulation Algorithms," Energies, MDPI, vol. 12(9), pages 1-18, May.
    8. Alexis B. Rey-Boué & N. F. Guerrero-Rodríguez & Johannes Stöckl & Thomas I. Strasser, 2019. "Modeling and Design of the Vector Control for a Three-Phase Single-Stage Grid-Connected PV System with LVRT Capability according to the Spanish Grid Code," Energies, MDPI, vol. 12(15), pages 1-28, July.
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    Cited by:

    1. Subramanian Vasantharaj & Vairavasundaram Indragandhi & Vairavasundaram Subramaniyaswamy & Yuvaraja Teekaraman & Ramya Kuppusamy & Srete Nikolovski, 2021. "Efficient Control of DC Microgrid with Hybrid PV—Fuel Cell and Energy Storage Systems," Energies, MDPI, vol. 14(11), pages 1-18, June.
    2. Miaomiao Ma & Xiangjie Liu & Kwang Y. Lee, 2020. "Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control," Energies, MDPI, vol. 13(6), pages 1-16, March.
    3. Bader N. Alajmi & Mostafa I. Marei & Ibrahim Abdelsalam & Mohamed F. AlHajri, 2021. "Analysis and Design of a Multi-Port DC-DC Converter for Interfacing PV Systems," Energies, MDPI, vol. 14(7), pages 1-17, April.
    4. Moacyr A. G. de Brito & Victor A. Prado & Edson A. Batista & Marcos G. Alves & Carlos A. Canesin, 2021. "Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System," Energies, MDPI, vol. 14(15), pages 1-17, July.

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