scholarly journals A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 1-20
Author(s):  
Abdullah M. Shaheen ◽  
Ahmed Rabie Ginidi ◽  
Ragab A. El-Sehiemy ◽  
Sherif S. M. Ghoneim
Keyword(s):  
Solar Cell ◽  
Parameter Extraction ◽  
Cell Models

scholarly journals A Population Classification Evolution Algorithm for the Parameter Extraction of Solar Cell Models

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Yiqun Zhang ◽  
Peijie Lin ◽  
Zhicong Chen ◽  
Shuying Cheng
Keyword(s):  
Solar Cell ◽  
Good Accuracy ◽  
Parameter Extraction ◽  
Local Optimum ◽  
Cell Models ◽  
Small Probability ◽  
Population Classification ◽  
Evolution Algorithm ◽  
Bird Mating Optimizer ◽  
Different Sources

To quickly and precisely extract the parameters for solar cell models, inspired by simplified bird mating optimizer (SBMO), a new optimization technology referred to as population classification evolution (PCE) is proposed. PCE divides the population into two groups, elite and ordinary, to reach a better compromise between exploitation and exploration. For the evolution of elite individuals, we adopt the idea of parthenogenesis in nature to afford a fast exploitation. For the evolution of ordinary individuals, we adopt an effective differential evolution strategy and a random movement of small probability is added to strengthen the ability to jump out of a local optimum, which affords a fast exploration. The proposed PCE is first estimated on 13 classic benchmark functions. The experimental results demonstrate that PCE yields the best results on 11 functions by comparing it with six evolutional algorithms. Then, PCE is applied to extract the parameters for solar cell models, that is, the single diode and the double diode. The experimental analyses demonstrate that the proposed PCE is superior when comparing it with other optimization algorithms for parameter identification. Moreover, PCE is tested using three different sources of data with good accuracy.

scholarly journals Supply demand optimization algorithm for parameter extraction of various solar cell models

2021 ◽  
Vol 7 ◽  
pp. 5772-5794
Author(s):  
Ahmed R. Ginidi ◽  
Abdullah M. Shaheen ◽  
Ragab A. El-Sehiemy ◽  
Ehab Elattar
Keyword(s):  
Solar Cell ◽  
Optimization Algorithm ◽  
Parameter Extraction ◽  
Cell Models

scholarly journals Application of Symbiotic Organisms Search Algorithm for Parameter Extraction of Solar Cell Models

2018 ◽  
Vol 8 (11) ◽  
pp. 2155 ◽  
Author(s):  
Guojiang Xiong ◽  
Jing Zhang ◽  
Xufeng Yuan ◽  
Dongyuan Shi ◽  
Yu He
Keyword(s):  
Solar Cell ◽  
Search Algorithm ◽  
Parameter Extraction ◽  
Cell Models ◽  
Unknown Parameters ◽  
Pv System ◽  
Symbiotic Interaction ◽  
Solution Quality ◽  
Symbiotic Organisms Search ◽  
Symbiotic Organisms

Extracting accurate values for relevant unknown parameters of solar cell models is vital and necessary for performance analysis of a photovoltaic (PV) system. This paper presents an effective application of a young, yet efficient metaheuristic, named the symbiotic organisms search (SOS) algorithm, for the parameter extraction of solar cell models. SOS, inspired by the symbiotic interaction ways employed by organisms to improve their overall competitiveness in the ecosystem, possesses some noticeable merits such as being free from tuning algorithm-specific parameters, good equilibrium between exploration and exploitation, and being easy to implement. Three test cases including the single diode model, double diode model, and PV module model are served to validate the effectiveness of SOS. On one hand, the performance of SOS is evaluated by five state-of-the-art algorithms. On the other hand, it is also compared with some well-designed parameter extraction methods. Experimental results in terms of the final solution quality, convergence rate, robustness, and statistics fully indicate that SOS is very effective and competitive.

Parameter extraction of solar cell models using improved shuffled complex evolution algorithm

2018 ◽  
Vol 157 ◽  
pp. 460-479 ◽  
Author(s):  
Xiankun Gao ◽  
Yan Cui ◽  
Jianjun Hu ◽  
Guangyin Xu ◽  
Zhenfeng Wang ◽  
...  
Keyword(s):  
Solar Cell ◽  
Parameter Extraction ◽  
Cell Models ◽  
Shuffled Complex Evolution ◽  
Evolution Algorithm
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