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Macro-model of PV module and its application for partial shading analysis

机译:光伏组件的宏观模型及其在部分阴影分析中的应用

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Under partially shaded conditions (PSC), a photovoltaic (PV) array takes on more complex characteristics. It is very difficult and utterly necessary for PV system designers to understand and predict them. Other than the prevailing methodology of solving a set of non-linear equations, the proposed methodology focuses on three key points of short circuit, MPP and open circuit. Besides, itsV-Icurve is split into three regions and replaced by three asymptote lines. From this viewpoint, this paper presents a novel Psim-based piece-wise linear macro-model whose circuit parameter values are determined based on the foregoing three key points. The novel model, compared with the other published models, is characterised by short running time, relative high accuracy, and reliable unique solution. This model avoids the computational complexity and convergence issue. Furthermore, based on the novel model, an optimising configuration-simulation model is presented for PV system designers to optimise PV array configurations under several given shaded patterns. Two new concepts of power and voltage reducing rate shall be introduced to estimate the PSC effect. The novel model and formulas, therefore, shall provide a good solution for studying the behavior of a large-scale PV array in a complex scenario.
机译:在部分阴影条件(PSC)下,光伏(PV)阵列具有更复杂的特性。光伏系统设计人员要理解和预测它们是非常困难且完全必要的。除了解决一组非线性方程式的常用方法外,所提出的方法还着重于短路,MPP和开路这三个关键点。此外, n VI n曲线分为三个区域,并由三个渐近线代替。从这个角度出发,本文提出了一种新颖的基于Psim的分段线性宏模型,其电路参数值是基于上述三个关键点确定的。与其他已发布的模型相比,该新颖的模型具有运行时间短,相对较高的精度和可靠的独特解决方案的特点。该模型避免了计算复杂性和收敛性问题。此外,基于该新型模型,为光伏系统设计人员提供了一种优化配置仿真模型,以在几种给定的阴影图案下优化光伏阵列的配置。将引入两个新的功率和电压降低率概念来估计PSC效果。因此,新颖的模型和公式将为研究复杂场景下大型光伏阵列的行为提供良好的解决方案。

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