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Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation

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  • Carrero, C.
  • Ramirez, D.
  • Rodríguez, J.
  • Castillo-Sierra, R.

Abstract

During their lifespan, due to small but persistent changes in their physical-chemical properties, photovoltaic (PV) generators undergo processes that degrade their electrical properties and reduce the power they can deliver. This power loss has technical and economic consequences, so it is of great interest to know their causes and develop procedures to assess its impact.

Suggested Citation

  • Carrero, C. & Ramirez, D. & Rodríguez, J. & Castillo-Sierra, R., 2021. "Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation," Renewable Energy, Elsevier, vol. 173(C), pages 351-361.
    • Handle: RePEc:eee:renene:v:173:y:2021:i:c:p:351-361
    DOI: 10.1016/j.renene.2021.03.133
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    References listed on IDEAS

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    1. Carrero, C. & Ramírez, D. & Rodríguez, J. & Platero, C.A., 2011. "Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve," Renewable Energy, Elsevier, vol. 36(11), pages 2972-2977.
    2. Kaushika, N.D. & Rai, Anil K., 2007. "An investigation of mismatch losses in solar photovoltaic cell networks," Energy, Elsevier, vol. 32(5), pages 755-759.
    3. Piliougine, M. & Spagnuolo, G. & Sidrach-de-Cardona, M., 2020. "Series resistance temperature sensitivity in degraded mono–crystalline silicon modules," Renewable Energy, Elsevier, vol. 162(C), pages 677-684.
    4. de Blas, M.A & Torres, J.L & Prieto, E & Garcı́a, A, 2002. "Selecting a suitable model for characterizing photovoltaic devices," Renewable Energy, Elsevier, vol. 25(3), pages 371-380.
    5. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    6. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2018. "An assessment of series resistance estimation techniques for different silicon based SPV modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 199-216.
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    Cited by:

    1. Pan, Yuling & Dong, Feng, 2022. "Dynamic evolution and driving factors of new energy development: Fresh evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

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