IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v118y2018icp709-717.html
   My bibliography  Save this article

Optimum inverter sizing of grid-connected photovoltaic systems based on energetic and economic considerations

Author

Listed:
  • Wang, H.X.
  • Muñoz-García, M.A.
  • Moreda, G.P.
  • Alonso-García, M.C.

Abstract

The optimum sizing ratio of the photovoltaic (PV) array capacity, compared to the nominal inverter input capacity, was determined in grid-connected PV (GCPV) systems from two points of view: energetic and economic. The optimum ratio was determined by both empirical and analytical approaches, and based on two PV arrays connected to their inverters, plus three simulated inverters.

Suggested Citation

  • Wang, H.X. & Muñoz-García, M.A. & Moreda, G.P. & Alonso-García, M.C., 2018. "Optimum inverter sizing of grid-connected photovoltaic systems based on energetic and economic considerations," Renewable Energy, Elsevier, vol. 118(C), pages 709-717.
  • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:709-717
    DOI: 10.1016/j.renene.2017.11.063
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117311643
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2017.11.063?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. Mellit, A. & Kalogirou, S.A. & Hontoria, L. & Shaari, S., 2009. "Artificial intelligence techniques for sizing photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 406-419, February.
    2. Bakhshi, Reza & Sadeh, Javad & Mosaddegh, Hamid-Reza, 2014. "Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 386-394.
    3. Camps, Xavier & Velasco, Guillermo & de la Hoz, Jordi & Martín, Helena, 2015. "Contribution to the PV-to-inverter sizing ratio determination using a custom flexible experimental setup," Applied Energy, Elsevier, vol. 149(C), pages 35-45.
    4. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    5. Fernández-Infantes, Alberto & Contreras, Javier & Bernal-Agustín, José L., 2006. "Design of grid connected PV systems considering electrical, economical and environmental aspects: A practical case," Renewable Energy, Elsevier, vol. 31(13), pages 2042-2062.
    6. Mondol, Jayanta Deb & Yohanis, Yigzaw G & Norton, Brian, 2009. "Optimising the economic viability of grid-connected photovoltaic systems," Applied Energy, Elsevier, vol. 86(7-8), pages 985-999, July.
    7. Ramli, Makbul A.M. & Hiendro, Ayong & Sedraoui, Khaled & Twaha, Ssennoga, 2015. "Optimal sizing of grid-connected photovoltaic energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 75(C), pages 489-495.
    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. Tekai Eddine Khalil Zidane & Mohd Rafi Adzman & Mohammad Faridun Naim Tajuddin & Samila Mat Zali & Ali Durusu & Saad Mekhilef, 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria," Energies, MDPI, vol. 13(11), pages 1-28, June.
    2. Balfour, John & Hill, Roger & Walker, Andy & Robinson, Gerald & Gunda, Thushara & Desai, Jal, 2021. "Masking of photovoltaic system performance problems by inverter clipping and other design and operational practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    3. Lappalainen, Kari & Valkealahti, Seppo, 2021. "Experimental study of the maximum power point characteristics of partially shaded photovoltaic strings," Applied Energy, Elsevier, vol. 301(C).
    4. Dácil Díaz-Bello & Carlos Vargas-Salgado & Jesus Águila-León & Fabián Lara-Vargas, 2023. "Methodology to Estimate the Impact of the DC to AC Power Ratio, Azimuth, and Slope on Clipping Losses of Solar Photovoltaic Inverters: Application to a PV System Located in Valencia Spain," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    5. Amirhossein Fathi & Masoomeh Bararzadeh Ledari & Yadollah Saboohi, 2021. "Evaluation of Optimal Occasional Tilt on Photovoltaic Power Plant Energy Efficiency and Land Use Requirements, Iran," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    6. Papadopoulos, V. & Knockaert, J. & Develder, C. & Desmet, J., 2019. "Investigating the need for real time measurements in industrial wind power systems combined with battery storage," Applied Energy, Elsevier, vol. 247(C), pages 559-571.
    7. Lappalainen, Kari & Wang, Guang C. & Kleissl, Jan, 2020. "Estimation of the largest expected photovoltaic power ramp rates," Applied Energy, Elsevier, vol. 278(C).
    8. Berrueta, Alberto & Heck, Michael & Jantsch, Martin & Ursúa, Alfredo & Sanchis, Pablo, 2018. "Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants," Applied Energy, Elsevier, vol. 228(C), pages 1-11.
    9. Lappalainen, Kari & Valkealahti, Seppo, 2022. "Sizing of energy storage systems for ramp rate control of photovoltaic strings," Renewable Energy, Elsevier, vol. 196(C), pages 1366-1375.

    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. Tekai Eddine Khalil Zidane & Mohd Rafi Adzman & Mohammad Faridun Naim Tajuddin & Samila Mat Zali & Ali Durusu & Saad Mekhilef, 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria," Energies, MDPI, vol. 13(11), pages 1-28, June.
    2. Aronescu, A. & Appelbaum, J., 2017. "Design optimization of photovoltaic solar fields-insight and methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 882-893.
    3. Khezri, Rahmat & Mahmoudi, Amin & Aki, Hirohisa, 2022. "Optimal planning of solar photovoltaic and battery storage systems for grid-connected residential sector: Review, challenges and new perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    4. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    5. Ramli, Makbul A.M. & Hiendro, Ayong & Sedraoui, Khaled & Twaha, Ssennoga, 2015. "Optimal sizing of grid-connected photovoltaic energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 75(C), pages 489-495.
    6. Pillot, Benjamin & de Siqueira, Sandro & Dias, João Batista, 2018. "Grid parity analysis of distributed PV generation using Monte Carlo approach: The Brazilian case," Renewable Energy, Elsevier, vol. 127(C), pages 974-988.
    7. Perez-Gallardo, J.R. & Azzaro-Pantel, C. & Astier, S. & Domenech, S. & Aguilar-Lasserre, A., 2014. "Ecodesign of photovoltaic grid-connected systems," Renewable Energy, Elsevier, vol. 64(C), pages 82-97.
    8. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
    9. Good, Jeremy & Johnson, Jeremiah X., 2016. "Impact of inverter loading ratio on solar photovoltaic system performance," Applied Energy, Elsevier, vol. 177(C), pages 475-486.
    10. Mayer, Martin János, 2022. "Impact of the tilt angle, inverter sizing factor and row spacing on the photovoltaic power forecast accuracy," Applied Energy, Elsevier, vol. 323(C).
    11. Lang, Tillmann & Gloerfeld, Erik & Girod, Bastien, 2015. "Don׳t just follow the sun – A global assessment of economic performance for residential building photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 932-951.
    12. Camps, Xavier & Velasco, Guillermo & de la Hoz, Jordi & Martín, Helena, 2015. "Contribution to the PV-to-inverter sizing ratio determination using a custom flexible experimental setup," Applied Energy, Elsevier, vol. 149(C), pages 35-45.
    13. Sánchez Reinoso, Carlos R. & Milone, Diego H. & Buitrago, Román H., 2013. "Simulation of photovoltaic centrals with dynamic shading," Applied Energy, Elsevier, vol. 103(C), pages 278-289.
    14. Menti, Anthoula & Zacharias, Thomas & Milias-Argitis, John, 2011. "Harmonic distortion assessment for a single-phase grid-connected photovoltaic system," Renewable Energy, Elsevier, vol. 36(1), pages 360-368.
    15. Li, Danny H.W. & Cheung, K.L. & Lam, Tony N.T. & Chan, Wilco W.H., 2012. "A study of grid-connected photovoltaic (PV) system in Hong Kong," Applied Energy, Elsevier, vol. 90(1), pages 122-127.
    16. Sabo, Mahmoud Lurwan & Mariun, Norman & Hizam, Hashim & Mohd Radzi, Mohd Amran & Zakaria, Azmi, 2017. "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia," Applied Energy, Elsevier, vol. 191(C), pages 663-688.
    17. Rehman, Shafiqur & Ahmed, M.A. & Mohamed, Mohand H. & Al-Sulaiman, Fahad A., 2017. "Feasibility study of the grid connected 10MW installed capacity PV power plants in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 319-329.
    18. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    19. 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).
    20. Bhatt, Ankit & Sharma, M.P. & Saini, R.P., 2016. "Feasibility and sensitivity analysis of an off-grid micro hydro–photovoltaic–biomass and biogas–diesel–battery hybrid energy system for a remote area in Uttarakhand state, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 53-69.

    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:118:y:2018:i:c:p:709-717. 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.