大型光伏组件的统计分析与结构优化

Ratheesh R. Thankalekshmi, Qinru Qiu, K. Man
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引用次数: 2

摘要

人们对利用太阳能为电子系统供电越来越感兴趣。设计师们正在寻找大规模使用低成本材料制造太阳能电池板的技术。这可能会导致广泛的过程变化,从而导致不可靠的性能。本文将每个光伏电池建模为一个电流源,其中短路电流为正态随机变量,考虑工艺变化对大型光伏组件输出功率的影响。导出了NxM光伏模块总输出功率的概率分布。所提出的统计分析技术将使设计人员能够预测给定置信水平下光伏组件的最大输出功率。该分析还表明,当尺寸和制造技术给定时,光伏组件的效率取决于其拓扑结构。所提出的功率预测模型可用于在给定的置信度水平下寻找光伏组件的最佳结构,使能量收集率最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Analysis and Structure Optimization of Large Photovoltaic Module
There has been an increasing interest in powering electronic systems using solar energy. Designers are seeking for techniques to manufacture solar panels using low cost material in a massive scale. This will likely lead to wide process variation and hence unreliable performance. This paper considers the impact of the process variations on the output power of large Photovoltaic (PV) module by modeling each PV cell as a current source whose short circuit current is a normal random variable. The probability distribution of the overall output power of an NxM PV module is analytically derived. The proposed statistical analysis technique will enable the designer to predict the maximum output power of a PV module for a given confidence level. This analysis also reveals that, when the size and the manufacturing technology are given, the efficiency of a PV module is determined by its topology. The proposed power prediction model can be applied to find the optimal structure of the PV module that maximizes the energy harvesting rate at the given confidence level.
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