ZONING PREDICTION OF FIELD PERFORMANCE DEGRATION RATE OF PV MODULES BASED ON WEIGHTS OF INFLUENCING FACTORS

Xiong Yuhui; Sun Shuaishuai; Li Shaoshuai; Xu Ben; Liu Weidong

doi:10.19912/j.0254-0096.tynxb.2022-0917

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 182-190. DOI: 10.19912/j.0254-0096.tynxb.2022-0917

ZONING PREDICTION OF FIELD PERFORMANCE DEGRATION RATE OF PV MODULES BASED ON WEIGHTS OF INFLUENCING FACTORS

Xiong Yuhui^1,2, Sun Shuaishuai^1,3, Li Shaoshuai¹, Xu Ben¹, Liu Weidong¹

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Abstract

This study proposes a zoning prediction method for accurately evaluating the field performance degradation rate of PV modules. After systematically identifying and selecting the comprehensive factors affecting the performance degradation of PV modules, the weights of each factor on the performance degradation are determined based on the accelerated life test, and then a prediction model of the field performance degradation rate of photovoltaic modules is constructed. With the geographic clustering of the factors considering those influence weights and time weights, the geographical area divisions with the most consistent performance degradation degree are obtained. Therefore, the field degradation rate prediction can be performed based on the clustering regional categories. The prediction results of the field performance degradation rate of PV modules in the geographical region of Guangdong and Hainan provinces show that the relative error between the predicted value and the actual value is 6.67%.

Key words

PV modules / degradation / field life / forecasting / clustering algorithms

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Xiong Yuhui, Sun Shuaishuai, Li Shaoshuai, Xu Ben, Liu Weidong. ZONING PREDICTION OF FIELD PERFORMANCE DEGRATION RATE OF PV MODULES BASED ON WEIGHTS OF INFLUENCING FACTORS[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 182-190 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0917

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