黑龙江省光伏气候的主成分与聚类分析

王峙文; 杨大智; 刘佰; 邱海芝; 邵珠航

doi:10.19912/j.0254-0096.tynxb.2025-0334

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 564-570. DOI: 10.19912/j.0254-0096.tynxb.2025-0334

黑龙江省光伏气候的主成分与聚类分析

王峙文¹, 杨大智¹, 刘佰¹, 邱海芝², 邵珠航²

作者信息 +

PRINCIPAL COMPONENT AND CLUSTER ANALYSIS OF PHOTOVOLTAIC CLIMATE IN HEILONGJIANG PROVINCE

Wang Zhiwen¹, Yang Dazhi¹, Liu Bai¹, Qiu Haizhi², Shao Zhuhang²

Author information +

文章历史 +

摘要

提出一种基于主成分分析和聚类算法的光伏资源评级方法。首先获取2016—2020年基于日本葵花8号卫星反演的黑龙江省的太阳辐照度及次级气象要素（空间分辨率4 km）,其次通过时间序列分析方法提取5个要素的9种时间特征并使用主成分分析法对所提取特征进行降维,然后通过聚类算法,绘制黑龙江省电站尺度的光伏气候空间分布图谱。该图谱将黑龙江省太阳能资源总量评级为一般、较丰富和很丰富3个区域,可为后续精细化光伏资源评估提供重要科学支撑。

Abstract

This study proposes a PV resource rating method based on principal component analysis （PCA） and clustering algorithms. The methodology involves acquiring solar irradiance and auxiliary meteorological variables for Heilongjiang Province from 2016 to 2020, derived from Himawari-8 satellite data with a spatial resolution of 4 km. Subsequently, nine temporal features are extracted for the five variables using time series analysis, and PCA is applied to reduce the dimensionality of the extracted features. Finally, a spatial distribution map of the PV climate at a power plant scale for Heilongjiang Province is generated through clustering analysis. This map categorizes the total solar resource of Heilongjiang Province into three levels： general, relatively abundant, and very abundant, providing significant scientific support for subsequent refined PV resource assessments.

导出引用

王峙文, 杨大智, 刘佰, 邱海芝, 邵珠航. 黑龙江省光伏气候的主成分与聚类分析[J]. 太阳能学报. 2026, 47(7): 564-570 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0334

Wang Zhiwen, Yang Dazhi, Liu Bai, Qiu Haizhi, Shao Zhuhang. PRINCIPAL COMPONENT AND CLUSTER ANALYSIS OF PHOTOVOLTAIC CLIMATE IN HEILONGJIANG PROVINCE[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 564-570 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0334

中图分类号： TK519

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