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光伏发电技术 ★ 5.0

全球倾斜辐照度反向转置与分离方法评估:基于高纬度数据的洞察

Evaluation of reverse transposition and separation methods for global tilted irradiance: Insights from high-latitude data

作者 Marieke Rynoson · Silvia Ma Luc · Joakim Munkhammar · Pietro Elia Campan
期刊 Solar Energy
出版日期 2025年1月
卷/期 第 297 卷
技术分类 光伏发电技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Evaluated two established and one novel model using high-latitude data.
语言:

中文摘要

摘要 当测量得到的辐照度用于质量控制或光伏系统模拟时,准确分离全球倾斜辐照度(GTI)变得尤为重要,后者通常需要全球水平辐照度(GHI),或散射与直射辐照度分量。本研究针对高纬度地区GTI的应用,对辐照度反向转置与分离模型进行了评估。评估基于在北纬59.53°采集并经过质量控制的六秒级辐照度实测数据,数据包括倾斜角为30°、40°和90°的GTI,以及GHI和水平散射辐照度(DHI)。根据文献综述,本文选取了两种专门用于GTI反向转置与分离的模型——GTI-DIRINT和Perez-Driesse模型,以及四种GHI分离模型进行评估。后一类模型在本研究开发的一个优化循环中进行测试,该优化框架结合现有的GHI分离模型与转置模型,实现对GTI的反向转置与分离。具体而言,测试了Erbs、Skartveit1、Engerer2和Yang4四种分离模型,并分别与Hay & Davies和Perez1990转置模型组合使用。通过统计评估指标和Diebold–Mariano检验,对实测与预测的GHI及DHI进行了比较分析。基于实测数据的评估结果表明,在高纬度地区进行GTI反向转置与分离时,推荐采用本研究提出的优化模型结合Engerer2分离模型与Hay & Davies转置模型,或使用Perez-Driesse模型。这一结论基于两者在整体排名上的优异表现以及GHI预测中的低偏差,其偏差分别为−2.0 W/m²和−2.3 W/m²。

English Abstract

Abstract Accurate separation of global tilted irradiance (GTI) becomes important when the measured irradiance is used for quality control or PV simulation purposes, for which the latter often requires global horizontal irradiance (GHI), or diffuse and beam irradiance fractions. This study presents an evaluation of irradiance reverse transposition and separation models for the application with GTI in high latitudes. The evaluation is made based on measured and quality controlled six-second irradiance from latitude 59.53°N, containing GTI at 30°, 40°, and 90° tilt angles, as well as GHI and diffuse horizontal irradiance (DHI). Based on a literature review, two specialized GTI reverse transposition and separation models – GTI-DIRINT and Perez-Driesse – and four GHI separation models were chosen for evaluation. The latter were tested in an optimization loop developed for this study that utilizes existing GHI separation models combined with transposition models for reverse transposition and separation of GTI. Specifically, the separation models Erbs , Skartveit1 , Engerer2 , and Yang4 were tested with Hay & Davies and Perez1990 transposition. The models were investigated using both statistical evaluation metrics and Diebold–Mariano test to compare measured and predicted GHI and DHI. An evaluation with measured data showed that for GTI reverse transposition and separation at high latitudes, the use of the proposed optimization model with Engerer2 in combination with Hay & Davies transposition, or the Perez-Driesse model is recommended. This is based on overall good ranking and low bias of GHI prediction with −2.0 W/m 2 and −2.3 W/m 2 , respectively.
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SunView 深度解读

该GTI辐照度反向转换与分离技术对阳光电源SG系列光伏逆变器及iSolarCloud平台具有重要应用价值。高纬度地区倾斜面辐照度的精确分离可优化MPPT算法性能,提升发电量预测精度。研究中Engerer2结合Hay & Davies模型的低偏差特性(-2.0 W/m²)可集成至智能运维系统,改进质量控制与功率预测模块。对于大倾角(90°)应用场景如建筑一体化BIPV系统,该方法能显著提升辐照度数据可靠性,为逆变器控制策略优化和预测性维护提供更精准的输入参数,特别适用于北欧等高纬度市场的电站运营。