Important notes on parameter estimation of solar photovoltaic cell
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Pierre Ele | Salomé Ndjakomo Essiane | Steve Perabi Ngoffe | René Wamkeue | Daniel Mbadjoun Wapet | Patrick Juvet Gnetchejo | P. Ele | S. P. Ngoffe | S. Essiane | Daniel Eutyche Mbadjoun Wapet | René Wamkeue | Steve Perabi Ngoffe | René Wamkeue
[1] Alain K. Tossa,et al. A new approach to estimate the performance and energy productivity of photovoltaic modules in real operating conditions , 2014 .
[2] D. Maskell,et al. Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm , 2013 .
[3] Hany M. Hasanien,et al. Whale optimisation algorithm for photovoltaic model identification , 2009 .
[4] Alireza Rezazadeh,et al. Artificial bee swarm optimization algorithm for parameters identification of solar cell models , 2013 .
[5] Thokozani Majozi,et al. GAMS supported optimization and predictability study of a multi-objective adsorption process with conflicting regions of optimal operating conditions , 2016, Comput. Chem. Eng..
[6] A. K. Al-Othman,et al. Simulated Annealing algorithm for photovoltaic parameters identification , 2012 .
[7] M. F. AlHajri,et al. Optimal extraction of solar cell parameters using pattern search , 2012 .
[8] Rabeh Abbassi,et al. An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models , 2019, Energy Conversion and Management.
[9] V. V. Thang,et al. Optimal Planning of Renewable Sources in Micro-grids Based on Life Cycle Cost , 2018, Advances in Engineering Research and Application.
[10] Jing Liang,et al. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models , 2018, Applied Energy.
[11] D. Kler,et al. A novel approach to parameter estimation of photovoltaic systems using hybridized optimizer , 2019, Energy Conversion and Management.
[12] Haifeng Zhou,et al. Application of Artificial Bee Colony in Model Parameter Identification of Solar Cells , 2015 .
[13] Prudence W. H. Wong,et al. Parameter Estimation of Photovoltaic Models via Cuckoo Search , 2013, J. Appl. Math..
[14] J. Appelbaum,et al. Parameters extraction of solar cells – A comparative examination of three methods , 2014 .
[15] Amir Mohammad Beigi,et al. Parameter identification for solar cells and module using a Hybrid Firefly and Pattern Search Algorithms , 2018, Solar Energy.
[16] Hui Du,et al. A Linear Identification of Diode Models from Single I-V Characteristics of PV Panels , 2015, IEEE Trans. Ind. Electron..
[17] Marcelo Gradella Villalva,et al. Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.
[18] Mehdi Bigdeli,et al. Very accurate parameter estimation of single- and double-diode solar cell models using a modified artificial bee colony algorithm , 2016 .
[19] Shu-xian Lun,et al. A new explicit I–V model of a solar cell based on Taylor’s series expansion , 2013 .
[20] N. Rajasekar,et al. Solar PV Modelling and Parameter Extraction Using Artificial Immune System , 2015 .
[21] A. Kapoor,et al. Exact analytical solutions of the parameters of real solar cells using Lambert W-function , 2004 .
[22] Harish Kumar,et al. Modeling of solar cell under different conditions by Ant Lion Optimizer with LambertW function , 2018, Appl. Soft Comput..
[23] A. García,et al. Selecting a suitable model for characterizing photovoltaic devices , 2002 .
[24] Eduardo F. Fernández,et al. The numerical computation of lumped parameter values using the multi-dimensional Newton-Raphson method for the characterisation of a multi-junction CPV module using the five-parameter approach , 2017 .
[25] Josef Kallrath. Modeling Languages in Mathematical Optimization (APPLIED OPTIMIZATION) , 2004 .
[26] Anis Sakly,et al. Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell/module parameter extraction , 2018, Energy Conversion and Management.
[27] Archana Gupta,et al. A Review extraction of solar cell modelling parameters , 2015 .
[28] J. Jervase,et al. Solar cell parameter extraction using genetic algorithms , 2001 .
[29] Liang Gao,et al. Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization , 2019, Energy Conversion and Management.
[30] Bidyadhar Subudhi,et al. Bacterial Foraging Optimization Approach to Parameter Extraction of a Photovoltaic Module , 2018, IEEE Transactions on Sustainable Energy.
[31] Attia A. El-Fergany,et al. Parameter extraction of photovoltaic generating units using multi-verse optimizer , 2016 .
[32] Saida Madi,et al. Bond graph based modeling for parameter identification of photovoltaic module , 2017 .
[33] T. Majozi,et al. Optimization of Integrated Water and Multiregenerator Membrane Systems , 2016 .
[34] L. K. Tartibu,et al. Lexicographic multi-objective optimization of thermoacoustic refrigerator’s stack , 2015 .
[35] Shu-xian Lun,et al. An explicit approximate I–V characteristic model of a solar cell based on padé approximants , 2013 .
[36] Xin Wang,et al. Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization , 2017 .
[37] Hani Mavalizadeh,et al. Robust hydrothermal unit commitment: A mixed-integer linear framework , 2018, Energy.
[38] Sílvio Mariano,et al. Collaborative swarm intelligence to estimate PV parameters , 2019, Energy Conversion and Management.
[39] Xu Chen,et al. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm , 2017 .
[40] Ponnuthurai Nagaratnam Suganthan,et al. Static and dynamic photovoltaic models’ parameters identification using Chaotic Heterogeneous Comprehensive Learning Particle Swarm Optimizer variants , 2019, Energy Conversion and Management.
[41] Alireza Soroudi,et al. Robust optimization based self scheduling of hydro-thermal Genco in smart grids , 2013 .
[42] Kashif Ishaque,et al. Accurate MATLAB Simulink PV System Simulator Based on a Two-Diode Model , 2011 .
[43] Ahmad Rezaee Jordehi,et al. Time varying acceleration coefficients particle swarm optimisation (TVACPSO): A new optimisation algorithm for estimating parameters of PV cells and modules , 2016 .
[44] Giuseppina Ciulla,et al. An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data , 2013 .
[45] N. Rajasekar,et al. A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation , 2017 .
[46] Lijun Wu,et al. Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm , 2018, Applied Energy.
[47] Dalia Yousri,et al. Flower Pollination Algorithm based solar PV parameter estimation , 2015 .
[48] T. Easwarakhanthan,et al. Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .
[49] Sílvio Mariano,et al. A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization , 2018 .
[50] Yong Wang,et al. Parameter estimation of photovoltaic modules using a hybrid flower pollination algorithm , 2017 .
[51] Mohamed Abd Elaziz,et al. Parameter estimation of solar cells diode models by an improved opposition-based whale optimization algorithm , 2018, Energy Conversion and Management.
[52] Wenyin Gong,et al. Parameter extraction of solar cell models using repaired adaptive differential evolution , 2013 .
[53] Lei Guo,et al. Parameter identification and sensitivity analysis of solar cell models with cat swarm optimization algorithm , 2016 .
[54] Alireza Rezazadeh,et al. Parameter identification for solar cell models using harmony search-based algorithms , 2012 .
[55] Heng Wang,et al. Parameter extraction of solar cell models using improved shuffled complex evolution algorithm , 2018, Energy Conversion and Management.
[56] Yu He,et al. Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm , 2018, Energy Conversion and Management.
[57] Neculai Andrei,et al. Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology , 2017 .