IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v134y2017icp121-135.html
   My bibliography  Save this article

Online fault detection and the economic analysis of grid-connected photovoltaic systems

Author

Listed:
  • Madeti, Siva Ramakrishna
  • Singh, S.N.

Abstract

Monitoring system is essential to maintain optimal performance of photovoltaic systems. An automatic fault diagnosis technique in a monitoring system plays critical role in detecting causes affecting the energy production. This paper proposes a new fault detection technique that analyzes the anomalies observed in terminal characteristics of faulty PV strings and corresponding array. The terminal voltage difference between the module in healthy string and the healthy module in unhealthy string can be employed to locate faulty modules. The main advantage of proposed approach is that it voids the need of string current sensors, and reduces the number of voltage sensors using optimal location of voltage sensors. In this technique, power line communication technology based data transmission is used to monitor each PV module. Additionally, a user friendly web application is developed for easy access of monitored data via Internet. Moreover, an economic analysis has also been carried out to study the cost effectiveness of the proposed fault detection technique; considering different values of interest rate and energy tariffs. The profitability of installed grid connected photovoltaic system is determined through its parameters net present value and pay-back period. Experimental results are provided to demonstrate the effectiveness of proposed fault detection technique.

Suggested Citation

  • Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Online fault detection and the economic analysis of grid-connected photovoltaic systems," Energy, Elsevier, vol. 134(C), pages 121-135.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:121-135
    DOI: 10.1016/j.energy.2017.06.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217309970
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.06.005?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. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
    2. Kalogirou, Soteris, 2003. "The potential of solar industrial process heat applications," Applied Energy, Elsevier, vol. 76(4), pages 337-361, December.
    3. Bernal-Agustín, José L. & Dufo-López, Rodolfo, 2006. "Economical and environmental analysis of grid connected photovoltaic systems in Spain," Renewable Energy, Elsevier, vol. 31(8), pages 1107-1128.
    4. Tsai, Wen-Tien & Kuo, Kuan-Chi, 2010. "An analysis of power generation from municipal solid waste (MSW) incineration plants in Taiwan," Energy, Elsevier, vol. 35(12), pages 4824-4830.
    5. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    6. Chine, W. & Mellit, A. & Pavan, A. Massi & Kalogirou, S.A., 2014. "Fault detection method for grid-connected photovoltaic plants," Renewable Energy, Elsevier, vol. 66(C), pages 99-110.
    7. Mercure, Jean-François & Salas, Pablo, 2012. "An assessement of global energy resource economic potentials," Energy, Elsevier, vol. 46(1), pages 322-336.
    8. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Monitoring system for photovoltaic plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1180-1207.
    9. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    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. Qamar Navid & Ahmed Hassan & Abbas Ahmad Fardoun & Rashad Ramzan & Abdulrahman Alraeesi, 2021. "Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Belaout, A. & Krim, F. & Mellit, A. & Talbi, B. & Arabi, A., 2018. "Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification," Renewable Energy, Elsevier, vol. 127(C), pages 548-558.
    3. Bilal Taghezouit & Fouzi Harrou & Cherif Larbes & Ying Sun & Smail Semaoui & Amar Hadj Arab & Salim Bouchakour, 2022. "Intelligent Monitoring of Photovoltaic Systems via Simplicial Empirical Models and Performance Loss Rate Evaluation under LabVIEW: A Case Study," Energies, MDPI, vol. 15(21), pages 1-30, October.
    4. Saeid Khavari & Rahman Dashti & Hamid Reza Shaker & Athila Santos, 2020. "High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers," Energies, MDPI, vol. 13(9), pages 1-15, May.
    5. Joshuva Arockia Dhanraj & Ali Mostafaeipour & Karthikeyan Velmurugan & Kuaanan Techato & Prem Kumar Chaurasiya & Jenoris Muthiya Solomon & Anitha Gopalan & Khamphe Phoungthong, 2021. "An Effective Evaluation on Fault Detection in Solar Panels," Energies, MDPI, vol. 14(22), pages 1-14, November.
    6. Livera, Andreas & Theristis, Marios & Makrides, George & Georghiou, George E., 2019. "Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 133(C), pages 126-143.
    7. 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).
    8. Jufri, Fauzan Hanif & Oh, Seongmun & Jung, Jaesung, 2019. "Development of Photovoltaic abnormal condition detection system using combined regression and Support Vector Machine," Energy, Elsevier, vol. 176(C), pages 457-467.
    9. Dashti, Rahman & Ghasemi, Mohsen & Daisy, Mohammad, 2018. "Fault location in power distribution network with presence of distributed generation resources using impedance based method and applying π line model," Energy, Elsevier, vol. 159(C), pages 344-360.
    10. Van Gompel, Jonas & Spina, Domenico & Develder, Chris, 2023. "Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks," Energy, Elsevier, vol. 266(C).
    11. Belqasem Aljafari & Siva Rama Krishna Madeti & Priya Ranjan Satpathy & Sudhakar Babu Thanikanti & Bamidele Victor Ayodele, 2022. "Automatic Monitoring System for Online Module-Level Fault Detection in Grid-Tied Photovoltaic Plants," Energies, MDPI, vol. 15(20), pages 1-28, October.
    12. Ramadoss Janarthanan & R. Uma Maheshwari & Prashant Kumar Shukla & Piyush Kumar Shukla & Seyedali Mirjalili & Manoj Kumar, 2021. "Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems," Energies, MDPI, vol. 14(20), pages 1-19, October.
    13. Wu, Lijun & Chen, Zhicong & Long, Chao & Cheng, Shuying & Lin, Peijie & Chen, Yixiang & Chen, Huihuang, 2018. "Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm," Applied Energy, Elsevier, vol. 232(C), pages 36-53.
    14. Li, Yuanliang & Ding, Kun & Zhang, Jingwei & Chen, Fudong & Chen, Xiang & Wu, Jiabing, 2019. "A fault diagnosis method for photovoltaic arrays based on fault parameters identification," Renewable Energy, Elsevier, vol. 143(C), pages 52-63.

    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. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Monitoring system for photovoltaic plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1180-1207.
    2. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    3. Kamjoo, Azadeh & Maheri, Alireza & Putrus, Ghanim A., 2014. "Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 66(C), pages 677-688.
    4. Li, Xue & Lin, Cong & Wang, Yang & Zhao, Lingying & Duan, Na & Wu, Xudong, 2015. "Analysis of rural household energy consumption and renewable energy systems in Zhangziying town of Beijing," Ecological Modelling, Elsevier, vol. 318(C), pages 184-193.
    5. Mercure, J.-F. & Paim, M.A. & Bocquillon, P. & Lindner, S. & Salas, P. & Martinelli, P. & Berchin, I.I. & de Andrade Guerra, J.B.S.O & Derani, C. & de Albuquerque Junior, C.L. & Ribeiro, J.M.P. & Knob, 2019. "System complexity and policy integration challenges: The Brazilian Energy- Water-Food Nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 230-243.
    6. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
    7. Hart, Rob, 2016. "Non-renewable resources in the long run," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 1-20.
    8. Bossavy, Arthur & Girard, Robin & Kariniotakis, Georges, 2016. "Sensitivity analysis in the technical potential assessment of onshore wind and ground solar photovoltaic power resources at regional scale," Applied Energy, Elsevier, vol. 182(C), pages 145-153.
    9. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    10. Mercure, Jean-François & Salas, Pablo, 2013. "On the global economic potentials and marginal costs of non-renewable resources and the price of energy commodities," Energy Policy, Elsevier, vol. 63(C), pages 469-483.
    11. Gopinath Subramani & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Josep M. Guerrero, 2017. "Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving," Energies, MDPI, vol. 10(11), pages 1-17, November.
    12. Hector Pollitt & Karsten Neuhoff & Xinru Lin, 2020. "The impact of implementing a consumption charge on carbon-intensive materials in Europe," Climate Policy, Taylor & Francis Journals, vol. 20(S1), pages 74-89, April.
    13. Paul Lehmann & Jos Sijm & Erik Gawel & Sebastian Strunz & Unnada Chewpreecha & Jean-Francois Mercure & Hector Pollitt, 2019. "Addressing multiple externalities from electricity generation: a case for EU renewable energy policy beyond 2020?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 255-283, April.
    14. Mercure, Jean-François, 2012. "FTT:Power : A global model of the power sector with induced technological change and natural resource depletion," Energy Policy, Elsevier, vol. 48(C), pages 799-811.
    15. Paim, Maria-Augusta & Dalmarco, Arthur R. & Yang, Chung-Han & Salas, Pablo & Lindner, Sören & Mercure, Jean-Francois & de Andrade Guerra, José Baltazar Salgueirinho Osório & Derani, Cristiane & Bruce , 2019. "Evaluating regulatory strategies for mitigating hydrological risk in Brazil through diversification of its electricity mix," Energy Policy, Elsevier, vol. 128(C), pages 393-401.
    16. Andreolli, Francesca & D’Alpaos, Chiara & Moretto, Michele, 2022. "Valuing investments in domestic PV-Battery Systems under uncertainty," Energy Economics, Elsevier, vol. 106(C).
    17. Gladkykh, Ganna & Spittler, Nathalie & Davíðsdóttir, Brynhildur & Diemer, Arnaud, 2018. "Steady state of energy: Feedbacks and leverages for promoting or preventing sustainable energy system development," Energy Policy, Elsevier, vol. 120(C), pages 121-131.
    18. Anne-Maree Dowd & Michelle Rodriguez & Talia Jeanneret, 2015. "Social Science Insights for the BioCCS Industry," Energies, MDPI, vol. 8(5), pages 1-19, May.
    19. Fankhauser, Samuel & Jotzo, Frank, 2017. "Economic growth and development with low-carbon energy," LSE Research Online Documents on Economics 86850, London School of Economics and Political Science, LSE Library.
    20. Tilmann Rave, 2013. "Innovation Indicators on Global Climate Change – R&D Expenditure and Patents," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(15), pages 34-41, August.

    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:energy:v:134:y:2017:i:c:p:121-135. 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/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.