Module parameter extraction and simulation with LTSpice software model in sub-Saharan outdoor conditions

In this work, a hybrid algorithm of Levenberg-Marquardt and empiric analytic method is proposed to solve the recurring convergence problem that occurs during the module parameters extraction with the iterative method. The proposed method aims to avoid divergence and a long computation time due to the improper initial value. Elsewhere, LTSpice photovoltaic cell model is developed to simulate the extracted parameters in sub-Saharan outdoor conditions. The LTSpice model with it virtual component is expected to facilitate the understanding photovoltaic module behavior under these conditions. Measurements performed with VSP50P-12V polycrystalline module and compared to simulation results show the accuracy of the hybrid method and the ease of LTSpice model. The hybrid algorithm with RMSE value of 0.9% while correlation one is greater than 97% for simulated irradiation is more accurate than the Levenberg-Marquardt algorithm.    Key words: Cell model, LTSpice model, Levenberg-Marquardt algorithm, empiric analytic.

[1]  C. Saravanan,et al.  A Comprehensive Analysis for Extracting Single Diode PV Model Parameters by Hybrid GA-PSO Algorithm , 2013 .

[2]  Attia A. El-Fergany Efficient Tool to Characterize Photovoltaic Generating Systems Using Mine Blast Algorithm , 2015 .

[3]  Huang Wei,et al.  Extracting solar cell model parameters based on chaos particle swarm algorithm , 2011, 2011 International Conference on Electric Information and Control Engineering.

[4]  William A. Beckman,et al.  Improvement and validation of a model for photovoltaic array performance , 2006 .

[5]  Mahmoud Omid,et al.  ANN based simulation and experimental verification of analytical four- and five-parameters models of PV modules , 2013, Simul. Model. Pract. Theory.

[6]  Shu-xian Lun,et al.  A new explicit I–V model of a solar cell based on Taylor’s series expansion , 2013 .

[7]  Mike James,et al.  The heuristic approach , 1984 .

[8]  G. Farahani,et al.  A novel approximate explicit double-diode model of solar cells for use in simulation studies , 2017 .

[9]  Viorel Badescu,et al.  A simple but accurate procedure for solving the five-parameter model , 2015 .

[10]  Jun-Young Park,et al.  A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model , 2015 .

[11]  Hany M. Hasanien,et al.  Shuffled Frog Leaping Algorithm for Photovoltaic Model Identification , 2015, IEEE Transactions on Sustainable Energy.

[12]  D. Maskell,et al.  Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm , 2013 .

[13]  Bin Sun,et al.  Simplex simplified swarm optimisation for the efficient optimisation of parameter identification for solar cell models , 2018 .

[14]  Hany M. Hasanien,et al.  Whale optimisation algorithm for photovoltaic model identification , 2009 .

[15]  Rustu Eke,et al.  A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values , 2017 .

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

[17]  T. Bendib,et al.  Fuzzy-Logic-based Approach for Organic Solar Cell Parameters Extraction , 2022 .

[18]  Osvaldo Vigil-Galán,et al.  A hybrid method for solar cell parameter estimation , 2017 .

[19]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[20]  Ta-Ya Chu,et al.  Improved Circuit Model Fitting of Inkjet-Printed OTFTs and a Proposal for Standardized Parameter Reporting , 2018, IEEE Transactions on Electron Devices.

[21]  Raka Jovanovic,et al.  Cuckoo Search Inspired Hybridization of the Nelder-Mead Simplex Algorithm Applied to Optimization of Photovoltaic Cells , 2014, ArXiv.

[22]  K. B. Mohanty,et al.  Comparative study on single diode photovoltaic module parameter extraction methods , 2013, 2013 International Conference on Power, Energy and Control (ICPEC).

[23]  Emad Hashim Talib,et al.  Study of the performance of five parameter model for monocrystalline silicon photovoltaic module using a reference data , 2018 .

[24]  Bidyadhar Subudhi,et al.  Bacterial Foraging Optimization Approach to Parameter Extraction of a Photovoltaic Module , 2018, IEEE Transactions on Sustainable Energy.

[25]  A. M. Chopde,et al.  Efficient Parameter Extraction of Solar Cell using Modified ABC , 2014 .

[26]  G. Georghiou,et al.  Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies , 2018 .

[27]  Archana Gupta,et al.  A Review extraction of solar cell modelling parameters , 2015 .

[28]  Avinashi Kapoor,et al.  An Exact Analytical Method for Calculating the Parameters of a Real Solar Cell Using Special Trans Function Theory (STFT) , 2013 .

[29]  Souad Chebbi,et al.  Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches , 2018, Renewable and Sustainable Energy Reviews.

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

[31]  Ahmed Fathy,et al.  Parameter estimation of photovoltaic system using imperialist competitive algorithm , 2017 .

[32]  Zhuo Meng,et al.  An improved model and parameters extraction for photovoltaic cells using only three state points at standard test condition , 2014 .

[33]  Efstratios I. Batzelis,et al.  A Method for the Analytical Extraction of the Single-Diode PV Model Parameters , 2016, IEEE Transactions on Sustainable Energy.

[34]  Yongchang Yu,et al.  Lambert W-function based exact representation for double diode model of solar cells: Comparison on fitness and parameter extraction , 2016 .

[35]  Yue Hao,et al.  A simple and efficient solar cell parameter extraction method from a single current-voltage curve , 2011 .

[36]  M. R. AlRashidi,et al.  Heuristic approach for estimating the solar cell parameters , 2012 .

[37]  Frede Blaabjerg,et al.  Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions , 2018, IEEE Transactions on Sustainable Energy.

[38]  Yue Wang,et al.  An improved optimization technique for estimation of solar photovoltaic parameters , 2017 .

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

[40]  P. Geethanjali,et al.  Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey , 2018 .

[41]  Sofiane Kichou,et al.  Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification , 2016 .

[42]  Alireza Rezazadeh,et al.  Parameter identification for solar cell models using harmony search-based algorithms , 2012 .

[43]  Prudence W. H. Wong,et al.  Simple Computational Method of Predicting Electrical Characteristics in Solar Cells , 2014 .

[44]  Khalid Amechnoue,et al.  Parameter estimation of photovoltaic module using bio-inspired firefly algorithm , 2016, 2016 International Renewable and Sustainable Energy Conference (IRSEC).

[45]  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 .

[46]  D. Njomo,et al.  An Improved Numerical Approach for Photovoltaic Module Parameters Acquisition Based on Single-Diode Model , 2015 .

[47]  Prudence W. H. Wong,et al.  Parameter Estimation of Photovoltaic Models via Cuckoo Search , 2013, J. Appl. Math..

[48]  Yuqing He,et al.  Parameter extraction of solar cell models using chaotic asexual reproduction optimization , 2014, Neural Computing and Applications.