美国西南部单轴跟踪光伏系统辐照度转换模型的评估

S. MacAlpine, Chris W. Wolfrom, O. Westbrook
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引用次数: 0

摘要

本研究考察了美国西南部单轴跟踪光伏(PV)阵列建模时常用的辐照度分解和转位模型的准确性。模型的输入包括测量的一分钟全球水平、漫射水平和直接正常辐照度。根据天空晴朗度和太阳天顶角对分解模式预测的偏差和变率进行了分析和比较,结果因所采用的模式而有很大差异。另外,将转置模型预测与单轴跟踪的运行光伏电站的测量平面阵列(POA)辐照度进行比较。在晴空天,转位模型的预测结果与实测辐照度吻合良好,所有各向异性模型的绝对平均偏差均< 2%。然后将分解和转置模型结合起来,并将其预测与第二个跟踪光伏电站每年和季节性测量的POA辐照度进行比较。当进行分解和转置时,可以看到更多的变异性和偏差,尽管一些模型组合仍然可能与测量数据保持良好的一致性。
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Evaluation of Irradiance Transposition Models When Utilized with Single Axis Tracking PV Systems in the Southwestern United States
This work examines the accuracy of commonlyused irradiance decomposition and transposition models when modeling single-axis tracking photovoltaic (PV) arrays in the southwestern United States. Inputs to the models include measured one-minute global horizontal, diffuse horizontal, and direct normal irradiance. The bias and variability associated with decomposition models’ predictions are analyzed and compared according to sky clearness and solar zenith angle, with results varying widely depending on the model employed. Separately, transposition model predictions are compared to measured plane-of-array (POA) irradiance at an operating PV plant with single-axis tracking. Goodagreement is found between the transposition models’ predictions and measured irradiance on clear sky days, with an absolute mean bias difference of $< 2$% for all anisotropic models. The decomposition and transposition models are then combined, with their predictions compared to measured POA irradiance at a second tracking PV plant on an annual and seasonal basis. Morevariability and bias are seen when both decomposition and transposition are performed, though good agreement with measured data is still possible with some model combinations.
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