基于多源数据融合的光伏组串物理和环境特征演算技术研究  

Research on Physical and Environmental Characteristics Calculation of PV Clusters Via Multi-source Data Fusion

作　　者：孙伟 陈邦璇 王小虎 王启东 朱子昂 SUN Wei;CHEN Bangxuan;WANG Xiaohu;WANG Qidong;ZHU Ziang

机构地区：[1]国家能源集团新疆吉林台水电开发有限公司,新疆伊犁835700

出　　处：《电力系统装备》2025年第2期185-187,共3页Electric Power System Equipment

摘　　要：复杂的地形条件和多变的环境因素给光伏电站的建设和运行带来了诸多挑战。光伏组串的安装方位角、倾斜角和侧翻角对其发电功率有显著影响,阴影的存在不仅会降低光伏组串的受光面积,减少光电转换效率,还可能引发组件间的电流不匹配,导致性能下降。文章基于数字正射影像图(DOM)和数字地表模型(DSM),根据图像检测识别算法和视日跟踪技术,可精确模拟光伏电站的三维模型,获取光伏组串等设施设备的空间几何信息,并演算不同时间段内光伏组串的阴影遮挡情况。研究结果可为光伏电站运维和光伏发电功率预测提供准确的数据支持,有助于提高发电功率和经济效益。Challenging terrain and fluctuating environmental conditions pose significant obstacles for both the construction and operation of PV power plants.The efficiency of power generation from PV modules is greatly influenced by factors such as installation azimuth angle,tilt angle,and side flip angle.Additionally,shadows can diminish the light-collecting area of PV modules,which not only lowers photovoltaic conversion efficiency but also results in current mismatches among modules that can degrade overall performance.This paper presents a multi-source data fusion approach utilizing Digital Orthophoto Maps(DOMs)and Digital Surface Models(DSMs).By employing image detection and recognition techniques alongside solar tracking technology,this method effectively creates a three-dimensional representation of the PV power plant while capturing spatial geometric details related to PV modules.The research assesses shadow blocking areas on PV modules at various times throughout the day,offering accurate data support for operational maintenance of PV power stations as well as forecasting photovoltaic energy output—thereby improving both generation efficiency and economic returns.

关 键 词：光伏电站 多源数据融合 DOM DSM 阴影模拟 太阳追踪技术 

分 类 号：TM615[电气工程—电力系统及自动化]