Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification
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Sofiane Kichou | Santiago Silvestre | Llanos Mora-López | E. Muñoz-Cerón | Letizia Guglielminotti | L. Mora-López | S. Silvestre | E. Muñoz-Cerón | S. Kichou | Letizia Guglielminotti
[1] Mohammad Reza Azizian,et al. On the Parameter Extraction of a Five-Parameter Double-Diode Model of Photovoltaic Cells and Modules , 2014, IEEE Journal of Photovoltaics.
[2] William A. Beckman,et al. Improvement and validation of a model for photovoltaic array performance , 2006 .
[3] Giuseppina Ciulla,et al. A comparison of different one-diode models for the representation of I–V characteristic of a PV cell , 2014 .
[4] Santiago Silvestre,et al. Modelling Photovoltaic Systems Using PSpice®: Castaner/Modelling Photovoltaic Systems Using PSpice , 2006 .
[5] Elyes Garoudja,et al. Parameters extraction of photovoltaic module for long-term prediction using artifical bee colony optimization , 2015, 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT).
[6] A. Dolara,et al. Comparison of different physical models for PV power output prediction , 2015 .
[7] Dervis Karaboga,et al. A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..
[8] Francesco Grimaccia,et al. A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output , 2015 .
[9] M. F. AlHajri,et al. Optimal extraction of solar cell parameters using pattern search , 2012 .
[10] Alon Kuperman,et al. An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel , 2014 .
[11] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[12] Giuseppe Marco Tina,et al. Development of Models for On-line Diagnostic and Energy Assessment Analysis of PV Power Plants: The Study Case of 1 MW Sicilian PV Plant , 2015 .
[13] Yves-Marie Saint-Drenan,et al. An empirical approach to parameterizing photovoltaic plants for power forecasting and simulation , 2015 .
[14] Carlos Andrés Ramos-Paja,et al. A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel , 2017, Math. Comput. Simul..
[15] Gustavo Nofuentes,et al. Analysis of current and voltage indicators in grid connected PV (photovoltaic) systems working in faulty and partial shading conditions , 2015 .
[16] Lin Lu,et al. Development of a model to simulate the performance characteristics of crystalline silicon photovoltaic modules/strings/arrays , 2014 .
[17] Tamer Khatib,et al. A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model , 2016 .
[18] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[19] William E. Boyson,et al. Photovoltaic array performance model. , 2004 .
[20] Ali Naci Celik,et al. Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models , 2007 .
[21] Teuku Meurah Indra Mahlia,et al. Characterization of PV panel and global optimization of its model parameters using genetic algorithm , 2013 .
[22] Hongxing Yang,et al. Validation of the Sandia model with indoor and outdoor measurements for semi-transparent amorphous silicon PV modules , 2015 .
[23] Aissa Chouder,et al. Automatic supervision and fault detection of PV systems based on power losses analysis , 2010 .
[24] C. Sah,et al. Carrier Generation and Recombination in P-N Junctions and P-N Junction Characteristics , 1957, Proceedings of the IRE.
[25] Alain K. Tossa,et al. A new approach to estimate the performance and energy productivity of photovoltaic modules in real operating conditions , 2014 .
[26] Tamer Khatib,et al. Modeling of photovoltaic array output current based on actual performance using artificial neural networks , 2015 .
[27] Gustavo Nofuentes,et al. Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure , 2016 .
[28] Engin Karatepe,et al. New procedure for fault detection in grid connected PV systems based on the evaluation of current and voltage indicators , 2014 .
[29] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[30] Dervis Karaboga,et al. Artificial bee colony algorithm , 2010, Scholarpedia.
[31] Jieming Ma,et al. Comparative performance on photovoltaic model parameter identification via bio-inspired algorithms , 2016 .
[32] Giorgio Sulligoi,et al. A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks , 2016 .
[33] Aissa Chouder,et al. Automatic fault detection in grid connected PV systems , 2013 .
[34] Aissa Chouder,et al. Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters , 2012, Simul. Model. Pract. Theory.
[35] Azah Mohamed,et al. Modeling of photovoltaic array using random forests technique , 2015, 2015 IEEE Conference on Energy Conversion (CENCON).
[36] Kashif Ishaque,et al. An improved method to estimate the parameters of the single diode model of photovoltaic module using differential evolution , 2015, 2015 4th International Conference on Electric Power and Energy Conversion Systems (EPECS).
[37] A. García,et al. Selecting a suitable model for characterizing photovoltaic devices , 2002 .
[38] Gonzalo Pajares,et al. Parameter identification of solar cells using artificial bee colony optimization , 2014 .