A novel approach to parameter estimation of photovoltaic systems using hybridized optimizer

[1]  M. Wolf,et al.  SERIES RESISTANCE EFFECTS ON SOLAR CELL MEASUREMENTS , 1963 .

[2]  J. Phillips,et al.  A comparative study of extraction methods for solar cell model parameters , 1986 .

[3]  T. Easwarakhanthan,et al.  Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .

[4]  G. Eldallal,et al.  Effect of MS contact on the electrical behaviour of solar cells , 1988 .

[5]  Hiranmay Saha,et al.  An improved technique for the determination of solar cell parameters , 1992 .

[6]  H. Ragaie,et al.  Dependence of dark current on zinc concentration in ZnxCd1−xS/ZnTe heterojunctions , 1993 .

[7]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[8]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[9]  Ulrich Stutenbaeumer,et al.  Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells , 1999 .

[10]  Robert W. Erickson,et al.  Fundamentals of Power Electronics , 2001 .

[11]  Steven S. Hegedus,et al.  Thin‐film solar cells: device measurements and analysis , 2004 .

[12]  Meiying Ye,et al.  Parameter extraction of solar cells using particle swarm optimization , 2009 .

[13]  A. Sellami,et al.  Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction , 2010 .

[14]  Kashif Ishaque,et al.  Simple, fast and accurate two-diode model for photovoltaic modules , 2011 .

[15]  Amir Hossein Alavi,et al.  Krill herd: A new bio-inspired optimization algorithm , 2012 .

[16]  A. K. Al-Othman,et al.  Simulated Annealing algorithm for photovoltaic parameters identification , 2012 .

[17]  Saad Mekhilef,et al.  Parameter extraction of solar photovoltaic modules using penalty-based differential evolution , 2012 .

[18]  Shu-xian Lun,et al.  An explicit approximate I–V characteristic model of a solar cell based on padé approximants , 2013 .

[19]  Giuseppina Ciulla,et al.  An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data , 2013 .

[20]  Wenyin Gong,et al.  Parameter extraction of solar cell models using repaired adaptive differential evolution , 2013 .

[21]  Giuseppe Marco Tina,et al.  Comparison of different metaheuristic algorithms for parameter identification of photovoltaic cell/module , 2013 .

[22]  A. Gandomi Interior search algorithm (ISA): a novel approach for global optimization. , 2014, ISA transactions.

[23]  Antonino Laudani,et al.  High performing extraction procedure for the one-diode model of a photovoltaic panel from experimental I–V curves by using reduced forms , 2014 .

[24]  Antonino Laudani,et al.  Comments on “An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data” (Appl. Energy 111 (2013) 894–903) , 2014 .

[25]  M. Uoya,et al.  A Calculation Method of Photovoltaic Array's Operating Point for MPPT Evaluation Based on One-Dimensional Newton–Raphson Method , 2015, IEEE Transactions on Industry Applications.

[26]  Shuxian Lun,et al.  A new explicit double-diode modeling method based on Lambert W-function for photovoltaic arrays , 2015 .

[27]  Debashisha Jena,et al.  Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review , 2015 .

[28]  Ahmed A. El Tayyan,et al.  An approach to extract the parameters of solar cells from their illuminated I-V curves using the Lambert W function , 2015 .

[29]  Kashif Ishaque,et al.  Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review , 2015 .

[30]  Prudence W. H. Wong,et al.  Parameter estimation of photovoltaic model via parallel particle swarm optimization algorithm , 2016 .

[31]  Ponnuthurai N. Suganthan,et al.  Recent advances in differential evolution - An updated survey , 2016, Swarm Evol. Comput..

[32]  Mehdi Bigdeli,et al.  Very accurate parameter estimation of single- and double-diode solar cell models using a modified artificial bee colony algorithm , 2016 .

[33]  Lijun Wu,et al.  Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy , 2016 .

[34]  N. Tong,et al.  A parameter extraction technique exploiting intrinsic properties of solar cells , 2016 .

[35]  X. Yang,et al.  China's renewable energy goals by 2050 , 2016 .

[36]  C. Chellaswamy,et al.  Parameter extraction of solar cell models based on adaptive differential evolution algorithm , 2016, Renewable Energy.

[37]  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 .

[38]  Nadarajah Kannan,et al.  Solar energy for future world: - A review , 2016 .

[39]  Zhicong Chen,et al.  A Population Classification Evolution Algorithm for the Parameter Extraction of Solar Cell Models , 2016 .

[40]  Wenxiang Zhao,et al.  Parameters identification of solar cell models using generalized oppositional teaching learning based optimization , 2016 .

[41]  Nasrudin Abd Rahim,et al.  Solar cell parameters identification using hybrid Nelder-Mead and modified particle swarm optimization , 2016 .

[42]  Wei-Chang Yeh,et al.  Simplified swarm optimisation for the solar cell models parameter estimation problem , 2017 .

[43]  N. Rajasekar,et al.  A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation , 2017 .

[44]  Roberto Cárdenas,et al.  Experimental Parameter Extraction in the Single-Diode Photovoltaic Model via a Reduced-Space Search , 2017, IEEE Transactions on Industrial Electronics.

[45]  Diego Oliva,et al.  Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm , 2017 .

[46]  T. D. Lee,et al.  A review of thin film solar cell technologies and challenges , 2017 .

[47]  Xin Wang,et al.  Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization , 2017 .

[48]  Michael Milligan,et al.  GREENING THE GRID: Pathways to Integrate 175 Gigawatts of Renewable Energy into India’s Electric Grid, Vol. I—National Study , 2017 .

[49]  Yong Wang,et al.  Parameter estimation of photovoltaic modules using a hybrid flower pollination algorithm , 2017 .

[50]  Vineet Kumar,et al.  PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm , 2017, Swarm Evol. Comput..

[51]  Abdellatif Obbadi,et al.  Parameters estimation of the single and double diode photovoltaic models using a Gauss–Seidel algorithm and analytical method: A comparative study , 2017 .

[52]  Nader Anani,et al.  Variations of PV module parameters with irradiance and temperature , 2017, Energy Procedia.

[53]  Zhicong Chen,et al.  Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm , 2017 .

[54]  Qishuang Ma,et al.  Photovoltaic Cell Parameter Estimation Using Hybrid Particle Swarm Optimization and Simulated Annealing , 2017 .

[55]  Teymoor Ghanbari,et al.  Adaptive Estimation Approach for Parameter Identification of Photovoltaic Modules , 2017, IEEE Journal of Photovoltaics.

[56]  Aboul Ella Hassanien,et al.  A Chaotic Improved Artificial Bee Colony for Parameter Estimation of Photovoltaic Cells , 2017 .

[57]  Xu Chen,et al.  Parameters identification of photovoltaic models using an improved JAYA optimization algorithm , 2017 .

[58]  Yu He,et al.  Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm , 2018, Energy Conversion and Management.

[59]  Bin Xu,et al.  Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation , 2018 .

[60]  A. R. Jordehi Enhanced leader particle swarm optimisation (ELPSO): An efficient algorithm for parameter estimation of photovoltaic (PV) cells and modules , 2018 .

[61]  Enio Pedone Bandarra Filho,et al.  Comparison of four methods for parameter estimation of mono- and multi-junction photovoltaic devices using experimental data , 2018 .

[62]  Chao Huang,et al.  A novel Elite Opposition-based Jaya algorithm for parameter estimation of photovoltaic cell models , 2018 .

[63]  Jing Liang,et al.  Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models , 2018, Applied Energy.

[64]  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 .

[65]  Jiangang Yao,et al.  A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models , 2018 .

[66]  Heng Wang,et al.  Parameter extraction of solar cell models using improved shuffled complex evolution algorithm , 2018, Energy Conversion and Management.

[67]  Rachida Abounacer,et al.  Parameters identification of photovoltaic solar cells and module using the genetic algorithm with convex combination crossover , 2019 .