scholarly journals Parameters Extraction Methods of Compound Semiconductor Photovoltaic Modules

2021 ◽  
Vol 2011 (1) ◽  
pp. 012074
Author(s):  
Chuxiang Zhou ◽  
Yu Wang ◽  
Jie Xu
Energy ◽  
2019 ◽  
Vol 187 ◽  
pp. 116001 ◽  
Author(s):  
Mohammed H. Qais ◽  
Hany M. Hasanien ◽  
Saad Alghuwainem ◽  
Adnan S. Nouh

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 358 ◽  
Author(s):  
Efstratios Batzelis

The extraction of the photovoltaic (PV) model parameters remains to this day a long-standing and popular research topic. Numerous methods are available in the literature, widely differing in accuracy, complexity, applicability, and their very nature. This paper focuses on the class of non-iterative parameter extraction methods and is limited to the single-diode PV model. These approaches consist of a few straightforward calculation steps that do not involve iterations; they are generally simple and easy to implement but exhibit moderate accuracy. Seventeen such methods are reviewed, implemented, and evaluated on a dataset of more than one million measured I-V curves of six different PV technologies provided by the National Renewable Energy Laboratories (NREL). A comprehensive comparative assessment takes place to evaluate these alternatives in terms of accuracy, robustness, calculation cost, and applicability to different PV technologies. For the first time, the irregularities found in the extracted parameters (negative or complex values) and the execution failures of these methods are recorded and are used as an assessment criterion. This comprehensive and up-to-date literature review will serve as a useful tool for researchers and engineers in selecting the appropriate parameter extraction method for their application.


2013 ◽  
Vol 765-767 ◽  
pp. 2074-2077
Author(s):  
Chun Xiang Wang ◽  
Hong Min Shi

In this paper, combining with research situation at home and abroad,the gear parameters extraction methods were compared,including point cloud extraction in reverse engineering, image measurement technology and traditional measurement technique, etc. Analyzes the various technical method,At last,gear parameter extraction of the prospects for development are put forward.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5735
Author(s):  
Mehmet Yesilbudak

With the increase in the share of solar energy in the sustainable development, accurate parameter identification plays a significant role in designing optimal solar photovoltaic systems. For this purpose, this paper extensively implements and evaluates the grey wolf optimizer with a dimension learning-based hunting search strategy, an improved version of GWO named I-GWO, in the parameter extraction of photovoltaic cells and modules. According to the experimental results, the double-diode model leads to better fitness than the other diode models in representing the physical behaviors of both photovoltaic cells and photovoltaic modules. For further performance validation, firstly, the internal parameters extracted by the I-GWO algorithm and the corresponding output current data are compared with a number of widely-used parameter extraction methods in the literature. Then, the best goodness-of-fit results achieved by the I-GWO algorithm are evaluated considering many state-of-the-art metaheuristic algorithms in the literature. The accuracy measures including root mean squared error and sum of individual absolute errors show that I-GWO is fairly promising to be the efficient and valuable parameter extraction method for both photovoltaic cells and photovoltaic modules.


2021 ◽  
Vol 164 ◽  
pp. 674-686
Author(s):  
M. Piliougine ◽  
R.A. Guejia-Burbano ◽  
G. Petrone ◽  
F.J. Sánchez-Pacheco ◽  
L. Mora-López ◽  
...  

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