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Particle swarm optimisation-based model and analysis of photovoltaic module characteristics in snowy conditions

机译:基于粒子群优化的模型和下雪条件下光伏组件特性分析

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In this study, a novel methodology of photovoltaic (PV) modelling is proposed to represent the instantaneous electrical characteristics of PV modules covered with snow. The attenuation of the transmitted solar radiation penetrating a layer of snow is rigorously estimated based on the Giddings and LaChapelle theory. This theory introduced the level of radiation that reaches the surface of the PV module through the snowpack, significantly affected by the snow properties and thickness. The proposed modelling approach is based on the single-diode-five-parameter equivalent circuit model. The parameters of the model are updated through instantaneous measurements of voltage and current that are optimised by the particle swarm optimisation algorithm. The proposed approach for modelling snow-covered PV modules was successfully validated in outdoor tests using three different types of PV module technologies typically used in North America's PV farms under different cold weather conditions. In addition, the validity of the proposed model was investigated using real data obtained from the SCADA system of a 12-MW grid-connected PV farm. The proposed model can help to improve PV performance under snow conditions and can be considered a powerful tool for the design and selection of PV modules subjected to snow accretion.
机译:在这项研究中,提出了一种新颖的光伏(PV)建模方法,以表示被雪覆盖的PV组件的瞬时电气特性。根据Giddings和LaChapelle理论严格估计穿透雪层的透射太阳辐射的衰减。该理论介绍了通过积雪到达PV模块表面的辐射水平,该水平受积雪性质和厚度的影响很大。所提出的建模方法基于单二极管五参数等效电路模型。通过瞬时电压和电流测量值更新模型的参数,这些测量值由粒子群优化算法进行了优化。使用三种不同类型的光伏模块技术(通常用于北美光伏农场,在不同的寒冷天气条件下),在室外测试中已成功验证了用于模拟积雪的光伏模块的建模方法。此外,使用从12兆瓦并网光伏电站的SCADA系统获得的真实数据研究了所建议模型的有效性。所提出的模型可以帮助改善积雪条件下的光伏性能,可以被认为是设计和选择积雪的光伏组件的有力工具。

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