RESEARCH ON POWER GENERATION PREDICTION OF PHOTOVOLTAIC CLUSTERS BASED ON BIRCH CLUSTERING

Wen Xiankui; He Mingjun; Zhou Ke; Li Xiaojiang; Tang Qian

doi:10.19912/j.0254-0096.tynxb.2024-1754

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 60-66. DOI: 10.19912/j.0254-0096.tynxb.2024-1754

RESEARCH ON POWER GENERATION PREDICTION OF PHOTOVOLTAIC CLUSTERS BASED ON BIRCH CLUSTERING

Wen Xiankui¹, He Mingjun¹, Zhou Ke¹, Li Xiaojiang², Tang Qian²

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Abstract

This article proposes a cluster partitioning method based on median and mean as calculation indicators and using BIRCH clustering algorithm to address the problems of limited raw data and information in power prediction of distributed photovoltaics. On the basis of cluster division, cluster accumulation method is adopted to predict the photovoltaic power of each cluster using multiple models, and then the prediction results of all clusters are integrated to achieve distributed photovoltaic area prediction. This article combines data from 18 distributed photovoltaic power stations in a certain region of Guizhou Province for simulation analysis. The experimental results show that the proposed algorithm has high accuracy and the proposed method can meet the practical application requirements.

Key words

distributed energy / photovoltaics / cluster algorithms / power prediction / BIRCH clustering

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Wen Xiankui, He Mingjun, Zhou Ke, Li Xiaojiang, Tang Qian. RESEARCH ON POWER GENERATION PREDICTION OF PHOTOVOLTAIC CLUSTERS BASED ON BIRCH CLUSTERING[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 60-66 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1754

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