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Active power estimation of photovoltaic generators for distribution network planning based on correlation models

Author

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  • Ramon-Marin, Miquel
  • Sumper, Andreas
  • Villafafila-Robles, Roberto
  • Bergas-Jane, Joan

Abstract

For the last years, PV (photovoltaic) generation has been having an important impact on LV (low voltage) and MV (medium voltage) grids in Spain, due to the increasing number of installations. As power monitoring of the generation is in most cases not required, utilities are forced to make assumptions on PV power generation in order to perform network planning studies for both peak demand and contingency analysis. These assumptions increase errors committed during the analysis, as the number of PV installations increases. This paper presents a methodology for estimating PV active power generation values for planning purposes in MV and LV power systems, from historic generation data, based on the development of correlation models. This methodology is applied to three different examples, using predictors based on real registered data. The methodology was also applied in a typical grid study and it's error was determined.

Suggested Citation

  • Ramon-Marin, Miquel & Sumper, Andreas & Villafafila-Robles, Roberto & Bergas-Jane, Joan, 2014. "Active power estimation of photovoltaic generators for distribution network planning based on correlation models," Energy, Elsevier, vol. 64(C), pages 758-770.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:758-770
    DOI: 10.1016/j.energy.2013.11.043
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    References listed on IDEAS

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    1. Muzathik, A.M. & Ibrahim, M.Z. & Samo, K.B. & Wan Nik, W.B., 2011. "Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements," Energy, Elsevier, vol. 36(2), pages 812-818.
    2. Almorox, J. & Hontoria, C. & Benito, M., 2011. "Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain)," Applied Energy, Elsevier, vol. 88(5), pages 1703-1709, May.
    3. Nykamp, Stefan & Molderink, Albert & Hurink, Johann L. & Smit, Gerald J.M., 2012. "Statistics for PV, wind and biomass generators and their impact on distribution grid planning," Energy, Elsevier, vol. 45(1), pages 924-932.
    4. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    5. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    6. Zarzo, Manuel & Martí, Pau, 2011. "Modeling the variability of solar radiation data among weather stations by means of principal components analysis," Applied Energy, Elsevier, vol. 88(8), pages 2775-2784, August.
    7. Sumper, Andreas & Robledo-García, Mercedes & Villafáfila-Robles, Roberto & Bergas-Jané, Joan & Andrés-Peiró, Juan, 2011. "Life-cycle assessment of a photovoltaic system in Catalonia (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3888-3896.
    8. Ener Rusen, Selmin & Hammer, Annette & Akinoglu, Bulent G., 2013. "Estimation of daily global solar irradiation by coupling ground measurements of bright sunshine hours to satellite imagery," Energy, Elsevier, vol. 58(C), pages 417-425.
    9. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2007. "A novel model for photovoltaic array performance prediction," Applied Energy, Elsevier, vol. 84(12), pages 1187-1198, December.
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    Cited by:

    1. Daiva Stanelyte & Virginijus Radziukynas, 2019. "Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-26, December.
    2. Ciprian Vlad & Marian Barbu & Ramon Vilanova, 2016. "Intelligent Control of a Distributed Energy Generation System Based on Renewable Sources," Sustainability, MDPI, vol. 8(8), pages 1-23, August.

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