REGIONAL PHOTOVOLTAIC POWER GENERATION CAPACITY PREDICTION BASED ON MULTISPECTRAL IMAGE FUSION

Ma Xiaolei; Zhang Yanjun; Wang Kaiwei; Sun Linhua; Li Yongguang

doi:10.19912/j.0254-0096.tynxb.2023-0464

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 267-271. DOI: 10.19912/j.0254-0096.tynxb.2023-0464

REGIONAL PHOTOVOLTAIC POWER GENERATION CAPACITY PREDICTION BASED ON MULTISPECTRAL IMAGE FUSION

Ma Xiaolei¹, Zhang Yanjun^1,2, Wang Kaiwei¹, Sun Linhua³, Li Yongguang¹

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Abstract

In order to improve the safety of power system operation, a region photovoltaic （PV） power generation capacity prediction method based on multispectral image fusion is proposed. The method defines the jurisdiction of regional PV power generation, acquires multispectral satellite remote sensing images, applies IHS transformation and Curvelet transform to the images, and fuses the standard deviation of multispectral images through image fusion technology. By analyzing the spatio-temporal characteristics of the PV power station and combining historical data, the method dynamically predicts the regional PV power generation capacity. Experimental results show that the mean square error of the method is 0.526, and the mutual information and structural similarity are both above 0.9. The method can clearly present the spatio-temporal multispectral images of the PV power station, and the real and predicted values of regional PV power generation capacity are well fitted, which can accurately predict the changes in regional PV power generation capacity.

Key words

multispectral / image fusion / Curvelet transform / regional photovoltaic power generation / capacity forecast

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Ma Xiaolei, Zhang Yanjun, Wang Kaiwei, Sun Linhua, Li Yongguang. REGIONAL PHOTOVOLTAIC POWER GENERATION CAPACITY PREDICTION BASED ON MULTISPECTRAL IMAGE FUSION[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 267-271 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0464

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