A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model
A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model
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DOI：
10.1016/j.solener.2015.11.001
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发表时间：
2015-12
期刊：
影响因子：
6.7
通讯作者：
Jun-Y. Park;Sungjin Choi
中科院分区：
文献类型：
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作者：
Jun-Y. Park;Sungjin Choi
提出了一种仅基于数据表值的光伏电池板参数提取算法，该算法在电力系统开发阶段具有重要的实用价值。为了提高光伏电路模型的精度，特别是在最大功率点附近，在单二极管模型中建立了包含最大功率点误差的目标函数，并利用模式搜索算法对参数进行了优化。此外，还讨论了参数搜索区域和初值问题，并建立了MPP区域内模型精度的判据。使用晶体光伏面板的测量数据进行的对比研究表明，该方法是一种更准确、更均匀、更快速的参数提取方法，对面板类型和用户技能的依赖性较小。此外，通过简单的修改，该方法成功地描述了除了标准测试条件(STC)之外的不同温度和辐照水平下的光伏特性。
This paper presents an effective parameter extraction algorithm for photovoltaic (PV) panels based only on datasheet values, which is very useful in the development phase of a power conditioning system (PCS). In order to increase the accuracy of a PV circuit model, especially in the vicinity of the maximum power point (MPP), the objective function incorporating the MPP error is formulated in the single-diode model, and a pattern search algorithm is utilized to optimize the parameters. In addition, the parameter search region and initial value are also discussed and criteria for the model accuracy in the MPP region are established. Comparison study using measurement data from the crystalline PV panel shows that the proposed method is a more accurate, uniform, and faster method of parameter extraction that is less dependent on the panel type and user skill. Furthermore, with a simple modification, this method successfully describes the PV characteristics even for various temperatures and irradiation levels in addition to the standard test condition (STC).