IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v243y2025ics0960148125002356.html
   My bibliography  Save this article

A novel reconfiguration technique for solar PV based microgrid system

Author

Listed:
  • Murugesan, Palpandian
  • David, Prince Winston
  • Murugesan, Pravin
  • Thangaraj, Hariharasudhan

Abstract

Microgrids comprise of decentralized energy supplies, storage systems, and loads that may be standalone or grid-connected. The standalone microgrid plays a significant role in rural electrification systems. Photovoltaic systems have gained attention as distributed generation systems in which auxiliary units can be included to meet increasing demand. The microgrid consists of a photovoltaic system as an energy source that supplies AC and DC loads. Partial shading degrades the performance of photovoltaic systems. A microgrid comprises of series-parallel and parallel-connected photovoltaic array to deliver the supply for AC and DC loads. The consequence of partial shading will be more adverse on the series-parallel array than the parallel-connected one. Therefore, this study proposes an adaptive reconfiguration technique between series-parallel and parallel connected photovoltaic arrays to maximize the power generation of the microgrid. To validate the superiority of the proposed microgrid, it is tested experimentally under ten partial shading conditions. The results of cases 5 and 9 reveal that the proposed microgrid has attained the power enhancement ratio of 19 % and 15 % compared to conventional microgrid, demonstrating its superiority in extracting the output power. Further, the results of a comprehensive analysis of the reconfiguration technique of the proposed microgrid has exhibited a power enhancement ratio of 53 % compared to the conventional series-parallel photovoltaic array. Overall, the proposed microgrid has enhanced the power enhancement ratio by 8 % compared to the conventional microgrid. The economic analysis of the proposed microgrid reveals its feasibility in terms of the payback period.

Suggested Citation

  • Murugesan, Palpandian & David, Prince Winston & Murugesan, Pravin & Thangaraj, Hariharasudhan, 2025. "A novel reconfiguration technique for solar PV based microgrid system," Renewable Energy, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:renene:v:243:y:2025:i:c:s0960148125002356
    DOI: 10.1016/j.renene.2025.122573
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125002356
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122573?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sai Krishna, G. & Moger, Tukaram, 2019. "Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 333-348.
    2. Aghaei, M. & Fairbrother, A. & Gok, A. & Ahmad, S. & Kazim, S. & Lobato, K. & Oreski, G. & Reinders, A. & Schmitz, J. & Theelen, M. & Yilmaz, P. & Kettle, J., 2022. "Review of degradation and failure phenomena in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    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. Alharbi, Abdullah G. & Fathy, Ahmed & Rezk, Hegazy & Abdelkareem, Mohammad Ali & Olabi, A.G., 2023. "An efficient war strategy optimization reconfiguration method for improving the PV array generated power," Energy, Elsevier, vol. 283(C).
    2. Sánchez-Pozo, Nadia N. & Vanem, Erik & Bloomfield, Hannah & Aizpurua, Jose I., 2025. "A probabilistic risk assessment framework for the impact assessment of extreme events on renewable power plant components," Renewable Energy, Elsevier, vol. 240(C).
    3. Mirza, Adeel Feroz & Mansoor, Majad & Zhan, Keyu & Ling, Qiang, 2021. "High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance," Energy, Elsevier, vol. 228(C).
    4. Ahmed Al Mansur & Md. Ruhul Amin & Molla Shahadat Hossain Lipu & Md. Imamul Islam & Ratil H. Ashique & Zubaeer Bin Shams & Mohammad Asif ul Haq & Md. Hasan Maruf & ASM Shihavuddin, 2023. "The Effects of Non-Uniformly-Aged Photovoltaic Array on Mismatch Power Loss: A Practical Investigation towards Novel Hybrid Array Configurations," Sustainability, MDPI, vol. 15(17), pages 1-17, September.
    5. Murugesan, Palpandian & David, Prince Winston & Murugesan, Pravin & Periyasamy, Pounraj, 2023. "Battery based mismatch reduction technique for partial shaded solar PV system," Energy, Elsevier, vol. 272(C).
    6. Meena, Roopmati & Pareek, Arti & Gupta, Rajesh, 2024. "A comprehensive Review on interfacial delamination in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    7. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    8. Huang, Xin & Wang, He & Jiang, Xuefang & Yang, Hong, 2023. "Performance degradation and reliability evaluation of crystalline silicon photovoltaic modules without and with considering measurement reproducibility: A case study in desert area," Renewable Energy, Elsevier, vol. 219(P1).
    9. Hooshyar, Pooya & Moghadasi, Hesam & Moosavi, Seyed Ali & Moosavi, Ali & Borujerdi, Ali Nouri, 2025. "Recent progress of soiling impact on solar panels and its mitigation strategies: A review," Applied Energy, Elsevier, vol. 379(C).
    10. Belqasem Aljafari & Rupendra Kumar Pachauri & Sudhakar Babu Thanikanti & Bamidele Victor Ayodele, 2023. "Innovative Methodologies for Higher Global MPP of Photovoltaic Arrays under PSCs: Experimental Validation," Sustainability, MDPI, vol. 15(15), pages 1-28, August.
    11. Adam Fennessy & Vasile Onea & James Walshe & John Doran & Marius Purcar & George Amarandei, 2025. "Suitability of Existing Photovoltaic Degradation Models for Agrivoltaic Systems," Energies, MDPI, vol. 18(8), pages 1-31, April.
    12. Zhao, Ning & Wang, Jiangjiang, 2024. "Solar full spectrum management in low and medium temperature light-driven chemical hydrogen synthesis - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 196(C).
    13. Srinivasan Vadivel & C. S. Boopthi & Sridhar Ramasamy & Mominul Ahsan & Julfikar Haider & Eduardo M. G. Rodrigues, 2021. "Performance Enhancement of a Partially Shaded Photovoltaic Array by Optimal Reconfiguration and Current Injection Schemes," Energies, MDPI, vol. 14(19), pages 1-21, October.
    14. Udenze, Peter I. & Gong, Jiaqi & Soltani, Shohreh & Li, Dawen, 2025. "A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load," Applied Energy, Elsevier, vol. 382(C).
    15. Sai Krishna, G. & Moger, Tukaram, 2021. "A novel adaptive dynamic photovoltaic reconfiguration system to mitigate mismatch effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Tuhibur Rahman & Ahmed Al Mansur & Molla Shahadat Hossain Lipu & Md. Siddikur Rahman & Ratil H. Ashique & Mohamad Abou Houran & Rajvikram Madurai Elavarasan & Eklas Hossain, 2023. "Investigation of Degradation of Solar Photovoltaics: A Review of Aging Factors, Impacts, and Future Directions toward Sustainable Energy Management," Energies, MDPI, vol. 16(9), pages 1-30, April.
    17. P, Aravind & D, Prince Winston & S, Sugumar & M, Pravin, 2024. "Optimal battery based electrical reconfiguration technique for partial shaded PV system," Applied Energy, Elsevier, vol. 361(C).
    18. Tarek A. Boghdady & Yasmin E. Kotb & Abdullah Aljumah & Mahmoud M. Sayed, 2022. "Comparative Study of Optimal PV Array Configurations and MPPT under Partial Shading with Fast Dynamical Change of Hybrid Load," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    19. Hassan, Sharmarke & Dhimish, Mahmoud, 2023. "Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection," Renewable Energy, Elsevier, vol. 219(P1).
    20. Khaled Osmani & Ahmad Haddad & Mohammad Alkhedher & Thierry Lemenand & Bruno Castanier & Mohamad Ramadan, 2023. "A Novel MPPT-Based Lithium-Ion Battery Solar Charger for Operation under Fluctuating Irradiance Conditions," Sustainability, MDPI, vol. 15(12), pages 1-31, June.

    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:eee:renene:v:243:y:2025:i:c:s0960148125002356. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.