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A Diode-Aware Model of PV Modules from Datasheet Specifications

机译:数据表规格中的光伏模块的二极管感知模型

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Semi-empirical models of photovoltaic (PV) modules based only on datasheet information are popular in electrical energy systems (EES) simulation because they can be built without measurements and allow quick exploration of alternative devices. One key limitation of these models, however, is the fact that they cannot model the presence of bypass diodes, which are inserted across a set of series-connected cells in a PV module to mitigate the impact of partial shading; datasheet information refer in fact to the operations of the module under uniform irradiance. Neglecting the effect of bypass diodes may incur in significant underestimation of the extracted power.This paper proposes a semi-empirical model for a PV module, that, by taking into account the only available information about bypass diodes in a datasheet, i.e., its number, by a first downscaling the model to a single PV cell and a subsequent upscaling to the level of a substring and of a module, allows to take into accout the diode effect as much accurately as allowed by the datasheet information.Experimental results show that, in a typical PV array on a roof, using a diode-agnostic model can signifantly underestimate the output power production.
机译:仅基于数据表信息的光伏(PV)模块的半经验模型在电能系统(EES)模拟中很受欢迎,因为它们无需测量即可构建,并且可以快速探索替代设备。然而,这些模型的一个关键限制是,它们无法对旁路二极管的存在进行建模,旁路二极管插入光伏模块中的一组串联连接的电池上,以减轻部分阴影的影响;数据表中的信息实际上是指模块在均匀辐照度下的操作。忽略旁路二极管的影响可能会导致提取功率的严重低估。本文提出了一种光伏组件的半经验模型,该模型考虑了数据表中有关旁路二极管的唯一可用信息,即其数量。首先将模型缩小到单个PV电池,然后再放大到子串和模块的水平,从而可以在数据表信息允许的范围内尽可能准确地吸收二极管效应。实验结果表明,在屋顶上的典型光伏阵列中,使用不可知二极管模型可能会大大低估输出功率的产生。

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