Modeling of solar photovoltaic (PV) cell/modules to estimate its parameters with the measured current–voltage ( ) values is a very important issue for the control, optimization, and effectiveness of the PV systems. Therefore, in this research work, a robust approach based on Stochastic Fractal Search (SFS) optimization algorithm is introduced to estimate accurate and reliable values of solar PV parameters for its precise modeling. To assess the excellence of the proposed SFS algorithm, different solar PV equivalent circuit models, i.e. single-diode model (SDM), double-diode model (DDM), and PV module model are taken into consideration. The introduced algorithm is examined under three different case studies; (i) first case study: an experimental standard dataset of a commercial R.T.C. France silicon solar cell working at 33, and solar radiance of 1000 W/m; (ii) second case study: using a polycrystalline solar panel STP6 120/36 with 36 cells in series working at 22, and (iii) third case study: an experimental dataset of ESP-160 PPW PV module working at 45, this experimentation were carried out in the Laboratory of Renewable Energy at Assiut University, Egypt. The results obtained using the proposed method are compared with other recently published works, and hence, the achieved results show the superiority, perfectness, and effective modeling concerning various performance parameters. Thereby, the proposed SFS approach can be used for effective PV modeling to improve the efficiency of the PV system.

中文翻译：

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基于随机分形搜索优化算法的鲁棒参数估计方法应用于太阳能光伏参数

对太阳能光伏 (PV) 电池/模块进行建模，通过测量的电流电压 ( ) 值来估计其参数，对于光伏系统的控制、优化和有效性来说是一个非常重要的问题。因此，在这项研究工作中，引入了一种基于随机分形搜索（SFS）优化算法的鲁棒方法来估计准确可靠的太阳能光伏参数值，以进行精确建模。为了评估所提出的SFS算法的卓越性，考虑了不同的太阳能光伏等效电路模型，即单二极管模型（SDM）、双二极管模型（DDM）和光伏模块模型。所引入的算法在三个不同的案例研究中进行了检验；(i) 第一个案例研究：法国商业 RTC 硅太阳能电池的实验标准数据集，工作温度为 33 ℃，太阳辐射率为 1000 W/m；(ii) 第二个案例研究：使用多晶太阳能电池板 STP6 120/36，其中 36 个串联电池在 22 ℃ 下工作，以及 (iii) 第三个案例研究：ESP-160 PPW 光伏组件在 45 ℃ 下工作的实验数据集，该实验是该研究在埃及 Assiut 大学可再生能源实验室进行。使用该方法获得的结果与最近发表的其他作品进行了比较，因此，所取得的结果显示了各种性能参数的优越性、完美性和有效建模。因此，所提出的SFS方法可用于有效的光伏建模，以提高光伏系统的效率。