IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5468-d1197225.html
   My bibliography  Save this article

A Comprehensive Review of Distributed MPPT for Grid-Tied PV Systems at the Sub-Module Level

Author

Listed:
  • Yousef Alharbi

    (School of Engineering, Lancaster University, Lancaster LA1 4YR, UK)

  • Ahmed Darwish

    (School of Engineering, Lancaster University, Lancaster LA1 4YR, UK)

  • Xiandong Ma

    (School of Engineering, Lancaster University, Lancaster LA1 4YR, UK)

Abstract

Energy crises and the growth of the energy demand have increased the interest in utilizing unconventional power sources. Thus, renewable energy sources have become a topic of interest to mitigate rising energy concerns and cope with increased electricity demand. With remarkable merits including cleanness and abundance, photovoltaic (PV) solar energy systems are a key to solving these issues. The employed inverters should effectively utilize the maximum available power from the PV solar system and transfer this power to the utility grid without posing any further limitations. However, the unequal power generation of different PV systems caused by partial shading (PS) and other PV panel degradation factors leads to a reduction in generation capacity. One of the relatively new solutions to mitigate the mismatch concerns between the PV modules and sub-modules is to extract the maximum power of each sub-module individually. The main objective of this paper is to present a comprehensive review of such PV grid-connected inverters topologies associated with sub-module connection and control. It will classify the PV grid-tied inverters in accordance with the level where the maximum power point tracking (MPPT) system is implemented. A special focus has been placed on sub-module microinverters (MI) in terms of circuit topologies, conversion efficiency, and controller design. This paper provides a comprehensive analysis of employing the distributed MPPT (DMPPT) approach to maximize the power generation of PV systems by mitigating the mismatch issues inside the PV module. The circuit topology, PV system configuration, and MPPT algorithms used for applying DMPPT solutions in PV SMs are discussed in detail in this study.

Suggested Citation

  • Yousef Alharbi & Ahmed Darwish & Xiandong Ma, 2023. "A Comprehensive Review of Distributed MPPT for Grid-Tied PV Systems at the Sub-Module Level," Energies, MDPI, vol. 16(14), pages 1-23, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5468-:d:1197225
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5468/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/14/5468/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yousef Alharbi & Ahmed Darwish, 2023. "Control of Cuk-Based Microinverter Topology with Energy Storage for Residential PV Applications," Energies, MDPI, vol. 16(5), pages 1-23, February.
    2. Lisa B. Bosman & Walter D. Leon-Salas & William Hutzel & Esteban A. Soto, 2020. "PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities," Energies, MDPI, vol. 13(6), pages 1-16, March.
    3. Sridhar, V. & Umashankar, S., 2017. "A comprehensive review on CHB MLI based PV inverter and feasibility study of CHB MLI based PV-STATCOM," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 138-156.
    4. Lyden, S. & Haque, M.E., 2015. "Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1504-1518.
    5. Duman, A. Can & Güler, Önder, 2020. "Economic analysis of grid-connected residential rooftop PV systems in Turkey," Renewable Energy, Elsevier, vol. 148(C), pages 697-711.
    6. Kandemir, Ekrem & Cetin, Numan S. & Borekci, Selim, 2017. "A comprehensive overview of maximum power extraction methods for PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 93-112.
    7. Lee, Jongsung & Chang, Byungik & Aktas, Can & Gorthala, Ravi, 2016. "Economic feasibility of campus-wide photovoltaic systems in New England," Renewable Energy, Elsevier, vol. 99(C), pages 452-464.
    8. Chu Donatus Iweh & Samuel Gyamfi & Emmanuel Tanyi & Eric Effah-Donyina, 2021. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits," Energies, MDPI, vol. 14(17), pages 1-34, August.
    9. Haegermark, Maria & Kovacs, Peter & Dalenbäck, Jan-Olof, 2017. "Economic feasibility of solar photovoltaic rooftop systems in a complex setting: A Swedish case study," Energy, Elsevier, vol. 127(C), pages 18-29.
    10. Liu, Yi-Hua & Chen, Jing-Hsiao & Huang, Jia-Wei, 2015. "A review of maximum power point tracking techniques for use in partially shaded conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 436-453.
    11. Ricardo A. Marques Lameirinhas & João Paulo N. Torres & João P. de Melo Cunha, 2022. "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, MDPI, vol. 15(5), pages 1-44, March.
    12. Li, Chong & Zhou, Dequn & Zheng, Yuan, 2018. "Techno-economic comparative study of grid-connected PV power systems in five climate zones, China," Energy, Elsevier, vol. 165(PB), pages 1352-1369.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Duman, A. Can & Güler, Önder, 2020. "Economic analysis of grid-connected residential rooftop PV systems in Turkey," Renewable Energy, Elsevier, vol. 148(C), pages 697-711.
    2. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    3. Ciprian Cristea & Maria Cristea & Dan Doru Micu & Andrei Ceclan & Radu-Adrian Tîrnovan & Florica Mioara Șerban, 2022. "Tridimensional Sustainability and Feasibility Assessment of Grid-Connected Solar Photovoltaic Systems Applied for the Technical University of Cluj-Napoca," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    4. Tanoto, Yusak, 2023. "Cost-reliability trade-offs for grid-connected rooftop PV in emerging economies: A case of Indonesia's urban residential households," Energy, Elsevier, vol. 285(C).
    5. Jordehi, A. Rezaee, 2016. "Maximum power point tracking in photovoltaic (PV) systems: A review of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1127-1138.
    6. Cristea, Ciprian & Cristea, Maria & Birou, Iulian & Tîrnovan, Radu-Adrian, 2020. "Economic assessment of grid-connected residential solar photovoltaic systems introduced under Romania’s new regulation," Renewable Energy, Elsevier, vol. 162(C), pages 13-29.
    7. Bizon, Nicu, 2019. "Real-time optimization strategies of Fuel Cell Hybrid Power Systems based on Load-following control: A new strategy, and a comparative study of topologies and fuel economy obtained," Applied Energy, Elsevier, vol. 241(C), pages 444-460.
    8. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    9. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    10. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina Pinho Correia Valério Bernardo & Sofia Lima Martins & Pedro Mendonça dos Santos & Helena Isabel Veiga & Maria João Marques Martins & Pa, 2023. "Analysis of Different Third-Generation Solar Cells Using the Discrete Electrical Model d1MxP," Energies, MDPI, vol. 16(7), pages 1-12, April.
    11. Waleed Al Abri & Rashid Al Abri & Hassan Yousef & Amer Al-Hinai, 2021. "A Simple Method for Detecting Partial Shading in PV Systems," Energies, MDPI, vol. 14(16), pages 1-12, August.
    12. Teuvo Suntio & Alon Kuperman, 2019. "Maximum Perturbation Step Size in MPP-Tracking Control for Ensuring Predicted PV Power Settling Behavior," Energies, MDPI, vol. 12(20), pages 1-19, October.
    13. Andrzej Ożadowicz & Gabriela Walczyk, 2023. "Energy Performance and Control Strategy for Dynamic Façade with Perovskite PV Panels—Technical Analysis and Case Study," Energies, MDPI, vol. 16(9), pages 1-23, April.
    14. Gorjian, Shiva & Bousi, Erion & Özdemir, Özal Emre & Trommsdorff, Max & Kumar, Nallapaneni Manoj & Anand, Abhishek & Kant, Karunesh & Chopra, Shauhrat S., 2022. "Progress and challenges of crop production and electricity generation in agrivoltaic systems using semi-transparent photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    15. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    16. Gupta, Akhil, 2022. "Power quality evaluation of photovoltaic grid interfaced cascaded H-bridge nine-level multilevel inverter systems using D-STATCOM and UPQC," Energy, Elsevier, vol. 238(PB).
    17. Diego R. Espinoza Trejo & Ernesto Bárcenas & José E. Hernández Díez & Guillermo Bossio & Gerardo Espinosa Pérez, 2018. "Open- and Short-Circuit Fault Identification for a Boost dc/dc Converter in PV MPPT Systems," Energies, MDPI, vol. 11(3), pages 1-15, March.
    18. Muhsen, Dhiaa Halboot & Khatib, Tamer & Nagi, Farrukh, 2017. "A review of photovoltaic water pumping system designing methods, control strategies and field performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 70-86.
    19. Gönül, Ömer & Yazar, Fatih & Duman, A. Can & Güler, Önder, 2022. "A comparative techno-economic assessment of manually adjustable tilt mechanisms and automatic solar trackers for behind-the-meter PV applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    20. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5468-:d:1197225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.