scholarly journals Corrigendum to “Critical analysis of the limitations and validity of the assumptions with the analytical methods commonly used to determine the photovoltaic cell parameters” [Renew Sustain Energy Rev 140 (2021) 110753]

2021 ◽  
pp. 110867
Author(s):  
Firoz Khan ◽  
Amir Al-Ahmed ◽  
Fahad A. Al-Sulaiman
Keyword(s):  
Analytical Methods ◽  
Critical Analysis ◽  
Photovoltaic Cell ◽  
Cell Parameters

Hybrid Optimization Approach for Evaluating Photovoltaic Cell Parameters

2013 ◽  
Vol 373-375 ◽  
pp. 1261-1264
Author(s):  
Mei Ying Ye
Keyword(s):  
Cell Model ◽  
Computation Time ◽  
Photovoltaic Cell ◽  
Evaluation Procedure ◽  
Model Parameters ◽  
Optimization Approach ◽  
Problem Space ◽  
Local Optima ◽  
Cell Parameters ◽  
Intelligent Technique

A new hybrid intelligent technique is proposed to evaluate photovoltaic cell model parameters in this paper. The intelligent technique is based on a hybrid of genetic algorithm (GA) and LevenbergMarquardt algorithm (LMA). In the proposed hybrid intelligent technique, the GA firstly searches the entire problem space to get a set of roughly estimated solutions, i.e. near-optimal solutions. Then the LMA performs a local optima search in order to carry out further optimizations. An example has been used to demonstrate the evaluation procedure in order to test the performance of the proposed approach. The results show that the proposed technique has better performance than the GA approach in terms of the objective function value, the computation time and the reconstructedI-Vcurve shape.

scholarly journals Measuring the Solar Cell Parameters Using Fuzzy Set Technique

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Mohammed S. Rasheed ◽  
Mohammed Abdelhadi Sarhan
Keyword(s):  
Solar Cell ◽  
Fuzzy Set ◽  
Silicon Solar Cell ◽  
Simulation Method ◽  
Photovoltaic Cell ◽  
Comparison Method ◽  
Physical Parameters ◽  
Simple Method ◽  
Cell Parameters ◽  
Method Show

<p>This work studies the application of fuzzy set (FS) and fuzzy logic (FC) methods to determine the optimal operating point of solar cell. The physical parameters of the solar cell have been measured practically using silicon solar cell. The important parameters of the silicon cell are compared with each other using fuzzy set comparison method (FSCM) based on (I-V) characteristic curves of the voltage of photovoltaic cell and the maximum power resulting from the cell; which is a simple method for the measurement. The results of the simulation method show that, the fuzzy set comparison method (FSCM) is better measuring these parameters.</p>

scholarly journals Solar Photovoltaic Cell Parameters Extraction Using Differential Evolution Algorithm

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 43
Author(s):  
Rachid Herbazi ◽  
Youssef Kharchouf ◽  
Khalid Amechnoue ◽  
Ahmed Khouya ◽  
Adil Chahboun
Keyword(s):  
Solar Cells ◽  
Differential Evolution ◽  
Short Circuit ◽  
Differential Evolution Algorithm ◽  
Short Circuit Current ◽  
Photovoltaic Cell ◽  
Open Circuit ◽  
Good Precision ◽  
Cell Parameters ◽  
Power Point

This work presents a method for extracting parameters from photovoltaic (PV) solar cells, based on the three critical points of the current-voltage (I-V) characteristic, i.e., the short-circuit current, the open circuit voltage and the maximum power point (MPP). The method is developed in the Python programming language using differential evolution (DE) and a three-point curve fitting approach. It shows a good precision with root mean square error (RMSE), for different solar cells, lower than to those cited in the literature. In addition, the method is tested based on the measurements of a solar cell in the Faculty of Science and Technology of Tangier (FSTT) laboratory, thus giving a good agreement between the measured data and those calculated (i.e., RMSE = 7.26 × 10−4) with fewer iterations for convergence.

scholarly journals Estimation of Photovoltaic Cell Parameters Using Measurement Data of Photovoltaic Module String Currents and Voltages

2021 ◽  
Author(s):  
Shigeomi Hara ◽  
Hiroshi Douzono ◽  
Makoto Imamura
Keyword(s):  
Simulation Analysis ◽  
Cell Model ◽  
Measurement Data ◽  
String Model ◽  
Real Data ◽  
Photovoltaic Cell ◽  
Photovoltaic Module ◽  
Cell Parameters ◽  
Operating Environments ◽  
The Difference

Photovoltac (PV) models play an important role in the simulation analysis and fault diagnosis of PV systems. The<br>single diode model (SDM) is the most frequently used model in research and applications. There are numerous proposed methods to identify the SDM parameters. However, the characteristics of PV cells alter during the lifetime in normal operating environments; these variations may be due to degradation, faults, dust, weed, and so on. Therefore, it is crucial to estimate the actual parameters of the PV cells that represent those present state. The contribution of this study is to propose a method to estimate PV cell parameters on the basis of the measurement data regarding the currents and voltages of the PV module strings. A PV string model is described on the basis of the adaptive SDM for the PV cells in the system, and the parameters of each cell model are obtained by minimizing the difference between the measured string voltages and the string voltages computed by the model. The application of the proposed method to real data measured in a PV power plant is also presented to evaluate the proposed method.

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