均匀光照下增加光伏阵列的能量收获:以科罗拉多州博尔德市和亚利桑那州图森市光伏阵列为例

S. Shirzadi, H. Hizam, N. Wahab, M. Maghami, S. MacAlpine
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引用次数: 0

摘要

对光伏(PV)阵列的研究表明,即使在均匀光照下,一些阵列也存在失配功率损耗。这种不匹配的功率损耗是由于光伏阵列模块之间的特征参数不平等,通常通过排序技术来解决。排序技术是指按其特征参数之一(如Isc、IMPP或pmpp)对阵列中的光伏模块进行排序。最近提出的另一种解决这个问题的方法是通过遗传算法(GA)来排列模块。本文将该技术应用于三个失配损耗较高的光伏阵列。在不同的辐射水平下测量每个阵列模块的I-V曲线,以提供精确的模型。这种精确的模型用于运行能量产出和失配损失的年度模拟。在本研究中进行的模拟表明,在阵列中适当排列模块可以减少失配损失,并增加年能量输出,而不是通过排序技术获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing energy harvest of photovoltaic arrays under uniform illumination : A case study on photovoltaic arrays in boulder CO and Tucson AZ
Studies on photovoltaic (PV) arrays have demonstrated that some arrays suffer from mismatch power losses even under uniform illumination. This mismatch power loss that is attributed to the inequality of characteristic parameters between a PV array's modules is conventionally addressed by sorting techniques — which stands for sorting PV modules in an array by one of their characteristic parameters such as Isc, IMPP or PMPP-Another recently suggested method to address this problem is arranging modules by genetic algorithm (GA). This paper applies this new technique to three PV arrays with relatively high mismatch losses. I-V curves for each array's modules are measured under different levels of radiation to provide a precise model. This precise modeling is used to run an annual simulation of energy yield and mismatch losses. Simulations carried out in this study show that a proper arrangement of modules in arrays decreases the mismatch losses and increases annual energy output more than what is gained by sorting techniques.
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