Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules

IEEE Access

Ameena Saad Al-Sumaiti¹  Masahito Shoyama²  Ziad M. Ali³  Ahmed A. Zaki Diab⁴  Hamdy M. Sultan⁴  Raseel Aljendy⁵ 

[1] Department of Electrical Engineering and Computer Science, Advanced Power and Energy Center, Khalifa University, Abu Dhabi, United Arab Emirates;Department of Electrical and Electronic Engineering, Kyushu University, Fukuoka, Japan;Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan, Egypt;Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt;Electrical Power Systems Department, Moscow Power Engineering Institute (MPEI), Moscow, Russia;

关键词: Solar cells;    tree growth algorithm;    parameter estimation;    PV modeling;    optimization;   

DOI  :  10.1109/ACCESS.2020.3005236

来源: DOAJ

【 摘 要 】

Among all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as well as photovoltaic (PV) modules is an essential issue for reasonable performance assessment, control and optimal operation of PV energy systems. In the current study, a novel optimization algorithm, Tree Growth Algorithm (TGA), is applied for accurate and efficient extraction of the unknown solar cell and PV module parameters. TGA is applied for estimating the unidentified parameters of PV models. Single diode model (SDM), double diode model (DDM) and three diode model (TDM) are investigated in the mathematical models of both solar cells and PV modules. The obtained results from the application of TGA to achieve this objective are compared with different algorithms reported in the literature. Moreover, the results demonstrated that the proposed algorithm of TGA superior to other reported methods. The good matching of the I-V characteristic curve of the computed parameters with those of the measured data from the manufacturer's PV modules/cells datasheet proved that the proposed TGA may function as a competitor to the methods provided in literature for parameters' identification of PV of solar cells.

【 授权许可】

Unknown