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Increasing energy harvest of photovoltaic arrays under uniform illumination : A case study on photovoltaic arrays in boulder CO and Tucson AZ

机译:在均匀照明下增加光伏阵列的能量收集:以博尔德CO和Tucson AZ中的光伏阵列为例

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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 I, I or P-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.
机译:对光伏(PV)阵列的研究表明,即使在均匀照明下,某些阵列也会遭受功率不匹配的损失。归因于PV阵列模块之间特征参数不平等的功率不匹配损耗通常通过分类技术来解决-代表通过阵列中的PV模块的特征参数之一(例如I,I或P)对PV模块进行分类。建议的解决此问题的方法是通过遗传算法(GA)安排模块。本文将这种新技术应用于失配损耗相对较高的三个光伏阵列。在不同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对能源产量和失配损耗进行年度模拟。在这项研究中进行的仿真表明,阵列中模块的正确布置可以减少不匹配损失,并且比分选技术获得的能量输出更多的增加。

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