In-depth analysis of photovoltaic module parameter estimation

被引:3
作者
Wang, Shinong [1 ,2 ]
Wang, Chuanzhi [1 ,2 ]
Ge, Yuan [1 ,2 ]
Liu, Shilin [1 ,2 ]
Xu, Jie [1 ,2 ]
Amer, Ragab Ahmed [3 ]
机构
[1] Minist Educ, Key Lab Adv Percept & Intelligent Control Highend, Wuhu 241000, Peoples R China
[2] Anhui Polytech Univ, Coll Elect Engn, Wuhu 241000, Peoples R China
[3] Menoufia Univ, Fac Engn, Dept Elect Engn, Shibin Al Kawm, Egypt
基金
中国国家自然科学基金;
关键词
Photovoltaic module; Parameter estimation; Parameter sensitivity; Meta -heuristic algorithm; Independent variable; Dependent variable; DIODE MODEL PARAMETERS; SILICON SOLAR-CELLS; ILLUMINATION INTENSITY; OPERATING-CONDITIONS; TEMPERATURE; VALIDATION; EXTRACTION; IRRADIANCE;
D O I
10.1016/j.energy.2024.130345
中图分类号
O414.1 [热力学];
学科分类号
摘要
Accurate knowledge of photovoltaic (PV) module model parameters plays an important role in PV power generation system. Therefore, in this study, the single-diode model of PV modules, physical meaning and solution methods of various parameters were introduced firstly. Then, the influence of various parameters on I-V characteristics was analyzed, and the parameter sensitivities of various parameters to the open circuit voltage and short circuit current were quantitatively discussed. Finally, different types of PV modules in a public dataset were used as objects, and different algorithms were employed to estimate the value of each parameter. Through simulation, some important points were provided: (i) the influence of photocurrent and parallel resistance on I-V characteristics is relatively independent, while the influence of reverse saturation current, series resistance, and ideality factor on I-V characteristics is highly coupled; (ii) the system degrees of freedom is totally different in case of considering the reverse saturation current as a dependent and independent variable. The improvement of the system degrees of freedom remarkably reduces the root mean square error of I-V characteristics; (iii) the estimated parameter resulted from meta-heuristic algorithms do not have the characteristic of uniqueness and may not represent the true values of the parameters.
引用
收藏
页数:15
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