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首页> 外文期刊>Energy Conversion & Management >Three-diode model for characterization of industrial solar generating units using Manta-rays foraging optimizer: Analysis and validations
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Three-diode model for characterization of industrial solar generating units using Manta-rays foraging optimizer: Analysis and validations

机译：使用Manta-rays觅食优化器表征工业太阳能发电机单元的三二极管模型：分析与验证

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摘要

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.
机译：采用Manta射线觅食优化器（MRFO）用于精确参数提取太阳能发电单元（SGUS）的准确参数提取的新尝试是努力。 3DEM具有九个决策变量，当仔细选择时，它可以精确定义SGU的实际特征。优化策略基于两个数据集，例如在特定条件下的实际测量I / V点，并且仅使用制造商的SGU数据表给出的三个关键点。其中，MRFO用于生成3DEM九个不确定参数。研究了两种测试用例，例如（i）kyocera多晶KC200GT太阳能模块，其广泛用于文献中，并且其比较可获得，然后，（ii）在不同变化的超85-P下建立实验组使适应。从文献中广泛使用的测量和估计电流数据集之间的根均方误差和平均绝对误差适于为SGU的参数提取定义成本函数（CFS）。这两种CFS都使用MRFO顺序优化。关于他们表演的综合讨论以及各种统计和敏感度量。检查各种变化的条件，包括太阳辐射和细胞温度。可以证实，MRFO的性能表明与他人的各种比较以及其他必要的绩效措施。

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