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光伏发电技术 地面光伏电站 ★ 5.0

大型光伏项目中光伏组件温度与组串尺寸风险的新型评估方法

The novel evaluation method for PV module temperature and string size risk in utility-scale solar projects

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中文摘要

摘要 目前,大型光伏电站的数量和装机容量正在不断增加。准确估算光伏组件电池温度是光伏项目优化的基础。本文利用来自不同地理位置和当前主流技术的大型光伏项目的实测数据,评估了若干种 наиболее relevant的光伏组件温度估算模型。在评估过程中,引入了一种新的加权方法,以捕捉模型在过压事件关键时段的行为表现。该评估基于误差分析,通过对比各模型在不同大型光伏项目中的实际组件行为,获得其精度。温度误差评估结果表明,在所评估的22种电池温度模型中,均方根误差(RMSE)介于0.25至1.45°C之间,并进一步确认了哪些模型在关键电压时段能提供更优的温度估算效果。在获得温度模型精度的基础上,进一步评估了这些模型对开路电压及项目风险的影响,由此提出了一种新模型。该新模型被称为“Grupotec组串评估模型”(Grupotec String Evaluation Model),用于组串尺寸风险评估,提供了一种创新的计算方法,用以确定光伏项目运行期间发生过压事件的概率。Grupotec组串评估模型建立在模型评估结果与项目特定数据的基础之上,被视为连接科学与工程的桥梁,有助于优化光伏能源系统的发电性能。

English Abstract

Abstract Currently, utility-scale PV plants are increasing in number and power. Accurate estimation of PV module cell temperature is fundamental for PV project optimization. This article evaluates some of the most relevant models for PV module temperature estimation using real data from utility-scale projects, with different locations and current existing technology. For the assessment, a new weighting methodology is introduced to capture modeĺs behavior during critical periods for overvoltage episodes. The evaluation is based on error analysis, obtaining models’ accuracy against module’s real behavior in different utility-scale projects. The assessment of temperature error provides RMSE for direct error results between 0.25 and 1.45 °C for the evaluated 22 temperature cell models, confirming also which models provide a better temperature estimation during critical voltage periods. Once temperature models’ accuracy is obtained, their impact on open-circuit voltage and project́s risk is evaluated, leading to the introduction of a new model. This new model for string size risk evaluation, called “Grupotec String Evaluation” model, is developed, providing an innovative calculation method to obtain the probability of over-voltage episodes during the operation of PV projects. The Grupotec String Evaluation model is based on the model’s evaluation and project-specific data, which is considered a link between science and engineering to optimize generation from PV energy systems.
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SunView 深度解读

该研究对阳光电源SG系列逆变器的1500V系统设计具有重要参考价值。文章提出的组件温度精确评估模型和过电压风险评估方法,可直接应用于优化我司MPPT算法和直流侧电压保护策略。通过集成Grupotec String Evaluation模型到iSolarCloud平台,能实现基于实时温度预测的串联数优化和预防性维护,降低开路电压风险,提升大型地面电站发电效率和系统安全性,特别适配我司三电平拓扑的宽电压窗口特性。