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面向热管理的光伏跟踪技术:在不牺牲发电量前提下降低组件衰减

Thermal-Aware Tracking for Photovoltaics: Reducing Module Degradation Without Sacrificing Yield

作者 Zeinab Haydous · Robinson Cavieres Abarca · Phillip Hamer · Nathan Chang · Felipe Valencia · Bram Hoex
期刊 IEEE Journal of Photovoltaics
出版日期 2026年2月
卷/期 第 16 卷 第 2 期
技术分类 控制与算法
技术标签 MPPT 热仿真 多物理场耦合 模型预测控制MPC
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

针对高辐照地区光伏组件温升导致效率下降与加速老化问题,本文提出一种热感知跟踪算法,在逆变器限发(clipping)时段主动调节倾角以降低面内辐照(POAI),结合风致对流与天空辐射的热模型验证,在智利实测实现组件温度降幅达7.7°C,同时保持能量产出。

English Abstract

Elevated operating temperatures for photovoltaic modules remain a critical challenge for PV systems, particularly in regions with high irradiance. High temperatures lower efficiency and accelerate module degradation. Single-axis trackers generally rely on algorithms that maximize irradiance capture. To tackle the dual challenge of maximizing production while preventing overheating, we propose a thermal-aware tracking algorithm. The method substantially reduces module temperatures during inverter clipping, a common occurrence in PV systems with high dc/ac ratios. By moderating plane-of-array irradiance (POAI) only when excess power cannot be exported, the algorithm reduces the module temperature without compromising energy yield. Validation using an advanced thermal model that accounts for wind-driven convection and radiative exchange with the sky shows that, under the climatic and operational conditions in Chile, the algorithm performs best when panels are oriented closer to horizontal. Implemented on a solar tracker in northern Chile, the algorithm achieved module temperature reductions of up to 7.7 °C along with decreased UV exposure, enhancing thermal performance without compromising system output and thereby improving efficiency while minimizing degradation.
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SunView 深度解读

该热感知跟踪算法与阳光电源组串式逆变器(如SG系列)及iSolarCloud智能运维平台深度协同:可通过iSolarCloud实时获取逆变器限发状态与环境数据,动态下发倾角指令至兼容智能跟踪支架;亦可集成至ST系列PCS或PowerTitan储能系统中,在高温限发时段联动储能充放电策略,进一步平抑热应力。建议在地面光伏电站和工商业光伏场景优先试点,并纳入下一代智能跟踪控制固件升级路线图。