Abstract A new attempt of employing Manta-rays foraging optimizer (MRFO) for accurate parameters extraction of three-diode equivalent model (3DeM) of solar generating units (SGUs) is endeavored. 3DeM has nine decision variables, when they are carefully selected, it can precisely define the actual characteristics of SGUs. The optimization strategies are based on two datasets such as actual measured I/V points at specific conditions, and using only the three key points given by manufacturer’s SGU datasheets. In which, MRFO is used to generate the 3DeM nine uncertain parameters. Two test cases are investigated such as (i) Kyocera polycrystalline KC200GT solar module, which is widely used in the literature and their comparisons are obtainable, and then, (ii) an experimental set up is established for the Ultra 85-P under different changed conditions. Root mean squared errors and mean absolute errors between measured and estimated current datasets, which are widely used in the literature, are adapted to define the cost functions (CFs) for SGU’s parameters extraction. Both of these CFs are optimized sequentially using the MRFO. Comprehensive discussions regarding their performances are given along with various statistical and sensitivity metrics. Various changed conditions including sun radiations and cell temperatures are examined. It can be confirmed that performance of MRFO is indicated overall various comparisons with others and other necessary performance measures.

中文翻译：

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使用 Manta 射线觅食优化器表征工业太阳能发电机组的三二极管模型：分析和验证

摘要 致力于利用蝠鲼觅食优化器(MRFO)精确提取太阳能发电机组(SGU)三二极管等效模型(3DeM)参数的新尝试。3DeM 有 9 个决策变量，经过精心挑选，可以精确定义 SGU 的实际特征。优化策略基于两个数据集，例如在特定条件下实际测量的 I/V 点，并且仅使用制造商 SGU 数据表中给出的三个关键点。其中，MRFO用于生成3DeM的九个不确定参数。研究了两个测试案例，例如（i）Kyocera 多晶 KC200GT 太阳能组件，它在文献中被广泛使用并且可以进行比较，然后，（ii）建立了 Ultra 85-P 在不同变化下的实验装置使适应。文献中广泛使用的测量和估计的当前数据集之间的均方根误差和平均绝对误差适用于定义 SGU 参数提取的成本函数 (CF)。这两个 CF 都使用 MRFO 依次优化。对它们的性能以及各种统计和敏感度指标进行了全面的讨论。检查各种变化的条件，包括太阳辐射和电池温度。可以确认，MRFO 的性能是通过与其他设备的各种比较和其他必要的性能度量来表示的。这两个 CF 都使用 MRFO 依次优化。对它们的性能以及各种统计和敏感度指标进行了全面的讨论。检查各种变化的条件，包括太阳辐射和电池温度。可以确认，MRFO 的性能是通过与其他设备的各种比较和其他必要的性能度量来表示的。这两个 CF 都使用 MRFO 依次优化。对它们的性能以及各种统计和敏感度指标进行了全面的讨论。检查各种变化的条件，包括太阳辐射和电池温度。可以确认，MRFO 的性能是通过与其他设备的各种比较和其他必要的性能度量来表示的。