IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2529-d783133.html
   My bibliography  Save this article

Reliability-Centered Maintenance Scheduling of Photovoltaic Components According to Failure Effects

Author

Listed:
  • Joong-Woo Shin

    (Department of Electrical Engineering, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Kwang-Hoon Yoon

    (Department of Electrical Engineering, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Hui-Seok Chai

    (R&D Center, Hyosung Corporation Power & Industrial System, 74, Simin-daero, Dongan-gu, Anyang-si 14117, Korea)

  • Jae-Chul Kim

    (Department of Electrical Engineering, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

Abstract

In the power distribution system of South Korea, the sectionalizer minimizes and recovers the system from failures, and prohibits independent operation of distributed energy resources. Therefore, it is difficult to expect reliability improvements owing to a photovoltaic system in the power distribution system. Herein, we propose a reliability-centered maintenance-scheduling method based on an economic analysis of photovoltaic integration facilities to ensure the economic feasibility of the photovoltaic system operator and the reliability of the power distribution system. Photovoltaic integration facilities are divided into two categories based on their spread of the failure, and the maintenance scheduling is evaluated according to the maximum and minimum losses according to the time of failure. Facilities that cause power outages to photovoltaics and to loads have relatively little effect on the time of failure. This is because the effects of the power outages in the loads predominate. In contrast, facilities that only cause photovoltaic outages are affected by the generation time. In particular, insulated gate bipolar transistors that operate only during photovoltaic generation have been found to be more economical for corrective replacement than preventive replacement.

Suggested Citation

  • Joong-Woo Shin & Kwang-Hoon Yoon & Hui-Seok Chai & Jae-Chul Kim, 2022. "Reliability-Centered Maintenance Scheduling of Photovoltaic Components According to Failure Effects," Energies, MDPI, vol. 15(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2529-:d:783133
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2529/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/7/2529/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
    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. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    4. Gupta, Nikita & Garg, Rachana & Kumar, Parmod, 2017. "Sensitivity and reliability models of a PV system connected to grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 188-196.
    5. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    6. Hamid Iftikhar & Eduardo Sarquis & P. J. Costa Branco, 2021. "Why Can Simple Operation and Maintenance (O&M) Practices in Large-Scale Grid-Connected PV Power Plants Play a Key Role in Improving Its Energy Output?," Energies, MDPI, vol. 14(13), pages 1-29, June.
    7. Colli, Alessandra, 2015. "Failure mode and effect analysis for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 804-809.
    8. Christopher Gradwohl & Vesna Dimitrievska & Federico Pittino & Wolfgang Muehleisen & András Montvay & Franz Langmayr & Thomas Kienberger, 2021. "A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic," Energies, MDPI, vol. 14(5), pages 1-23, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Józef Ciuła & Sławomir Kowalski & Agnieszka Generowicz & Krzysztof Barbusiński & Zbigniew Matuszak & Krzysztof Gaska, 2023. "Analysis of Energy Generation Efficiency and Reliability of a Cogeneration Unit Powered by Biogas," Energies, MDPI, vol. 16(5), pages 1-16, February.
    2. 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).

    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. 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).
    2. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
    3. Gianfranco Di Lorenzo & Erika Stracqualursi & Leonardo Micheli & Salvatore Celozzi & Rodolfo Araneo, 2022. "Prognostic Methods for Photovoltaic Systems’ Underperformance and Degradation: Status, Perspectives, and Challenges," Energies, MDPI, vol. 15(17), pages 1-6, September.
    4. Koester, L. & Lindig, S. & Louwen, A. & Astigarraga, A. & Manzolini, G. & Moser, D., 2022. "Review of photovoltaic module degradation, field inspection techniques and techno-economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    5. Ana Carolina Kulik & Édwin Augusto Tonolo & Alberto Kisner Scortegagna & Jardel Eugênio da Silva & Jair Urbanetz Junior, 2021. "Analysis of Scenarios for the Insertion of Electric Vehicles in Conjunction with a Solar Carport in the City of Curitiba, Paraná—Brazil," Energies, MDPI, vol. 14(16), pages 1-15, August.
    6. Gabriella-Stefánia Szabó & Róbert Szabó & Loránd Szabó, 2022. "A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels," Energies, MDPI, vol. 15(18), pages 1-21, September.
    7. Sayed, A. & EL-Shimy, M. & El-Metwally, M. & Elshahed, M., 2020. "Impact of subsystems on the overall system availability for the large scale grid-connected photovoltaic systems," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    8. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    9. Nikita V. Martyushev & Boris V. Malozyomov & Olga A. Filina & Svetlana N. Sorokova & Egor A. Efremenkov & Denis V. Valuev & Mengxu Qi, 2023. "Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability," Mathematics, MDPI, vol. 11(23), pages 1-19, November.
    10. Zhang, Minhui & Zhang, Qin & Zhou, Dequn & Wang, Lei, 2021. "Punishment or reward? Strategies of stakeholders in the quality of photovoltaic plants based on evolutionary game analysis in China," Energy, Elsevier, vol. 220(C).
    11. Mariz B. Arias & Sungwoo Bae, 2020. "Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System," Energies, MDPI, vol. 13(9), pages 1-14, April.
    12. Pramod R. Sonawane & Sheetal Bhandari & Rajkumar Bhimgonda Patil & Sameer Al-Dahidi, 2023. "Reliability and Criticality Analysis of a Large-Scale Solar Photovoltaic System Using Fault Tree Analysis Approach," Sustainability, MDPI, vol. 15(5), pages 1-24, March.
    13. 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.
    14. Shen, Boyang & Chen, Yu & Li, Chuanyue & Wang, Sheng & Chen, Xiaoyuan, 2021. "Superconducting fault current limiter (SFCL): Experiment and the simulation from finite-element method (FEM) to power/energy system software," Energy, Elsevier, vol. 234(C).
    15. Nguyen, Hai Tra & Safder, Usman & Nhu Nguyen, X.Q. & Yoo, ChangKyoo, 2020. "Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant," Energy, Elsevier, vol. 191(C).
    16. 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.
    17. Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
    18. Rediske, Graciele & Michels, Leandro & Siluk, Julio Cezar Mairesse & Rigo, Paula Donaduzzi & Rosa, Carmen Brum & Lima, Andrei Cunha, 2024. "A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants," Applied Energy, Elsevier, vol. 354(PA).
    19. Mehrabian, M.J. & Khoshgoftar Manesh, M.H., 2023. "4E, risk, diagnosis, and availability evaluation for optimal design of a novel biomass-solar-wind driven polygeneration system," Renewable Energy, Elsevier, vol. 219(P2).
    20. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(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:15:y:2022:i:7:p:2529-:d:783133. 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.