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光伏发电技术
★ 5.0
光谱辐照度在Kato波段和PV波段聚合对光伏光谱效应估算的影响
The Impact of Spectral Irradiance Aggregation Into Kato Bands and PV-Bands on Estimates of Photovoltaic Spectral Effects
| 作者 | Sophie Pelland · Stefan Riechelmann |
| 期刊 | IEEE Journal of Photovoltaics |
| 出版日期 | 2025年8月 |
| 技术分类 | 光伏发电技术 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 光谱辐照度 波段聚合 Kato波段 PV波段 光伏能量评级 |
语言:
中文摘要
全分辨率光谱辐照度数据在单个时间步长内可能包含多达2000 - 3000个数据点。鉴于光伏(PV)建模通常以亚小时时间分辨率进行多年期模拟,纳入光谱效应在文件大小和计算负担方面都可能具有挑战性。因此,光谱辐照度有时会被聚合为有限数量的波长波段(或波带),例如在“光伏组件性能测试和能量评级”的IEC 61853系列标准中使用的32波段分组,即所谓的加藤波段(Kato bands)。为了测试这种聚合的影响,利用美国两个地点(亚利桑那州坦佩市和科罗拉多州戈尔登市)的实测和模拟光谱辐照度数据,评估了将光谱辐照度聚合为加藤波段以及另外两组称为光伏波段(PV - bands)的波带对光伏光谱效应估计的影响。针对晶体硅和碲化镉组件,将使用聚合光谱的计算结果与使用全分辨率光谱的计算结果进行了比较。这三组波带中的每一组在光谱降额因子(用于表征长期光谱效应)方面产生的误差均小于0.1%,可忽略不计。这表明加藤波段和光伏波段对于光伏能量评级而言都应是足够的。同时,最新版本的光伏波段在评估瞬时光谱失配因子方面表现最佳,对于两个地点和两种光伏组件技术,在所有时间步长上产生的误差均小于0.2%,而加藤波段的瞬时误差幅度则高达1.4%。
English Abstract
Full-resolution spectral irradiance data can comprise upwards of 2000–3000 data points at a single time step. Given that photovoltaic (PV) modeling is regularly performed with subhourly time resolutions over multiyear periods, incorporating spectral effects can become challenging both in terms of file sizes and computational burden. For this reason, spectral irradiances are sometimes aggregated into a limited number of wavelength bands (or wavebands), such as the 32-band grouping known as Kato bands that is used in the IEC 61853 series of standards on “PV module performance testing and energy rating.” To test the impact of such aggregation, measured, and modeled spectral irradiance data from two sites in the United States—Tempe, Arizona and Golden, Colorado—are used to assess the impact on PV spectral effect estimates of aggregating spectral irradiances into Kato bands and into two other sets of wavebands known as PV-bands. Calculations using the aggregated spectra are compared with those using the full-resolution spectra, for crystalline silicon and cadmium telluride modules. Each of the three sets of wavebands yields negligible errors of less than 0.1% in the spectral derate factor, which characterizes long-term spectral effects. This indicates that both Kato bands and PV-bands should be sufficient for the purposes of PV energy rating. Meanwhile, a recent version of PV-bands performs best for evaluating the instantaneous spectral mismatch factor, leading to errors of less than 0.2% across all time steps for both sites and PV module technologies, while instantaneous errors for Kato bands reach magnitudes of up to 1.4%.
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SunView 深度解读
该光谱辐照度聚合建模技术对阳光电源SG系列光伏逆变器的MPPT算法优化具有重要价值。通过PV波段聚合方法可在保证光谱响应计算精度的同时显著降低计算复杂度,适用于逆变器嵌入式系统的实时功率预测。可应用于:1)SG系列逆变器的智能MPPT算法,根据实时光谱条件动态调整追踪策略;2)iSolarCloud平台的发电量预测模型,提升不同气候区域电站的功率预估精度;3)1500V高压系统的组件失配分析,量化光谱效应对串联组件输出的影响。该技术可使阳光电源逆变器在复杂光照条件下提升0.5-1%的发电效率,增强产品市场竞争力。