The Temporal and Spatial Characteristics of Wind–Photovoltaic–Hydro Hybrid Power Output Based on a Cloud Model and Copula Function

Haoling Min, Pinkun He, Chunlai Li, Libin Yang and Feng Xiao ()
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Haoling Min: School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
Pinkun He: School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
Chunlai Li: Economic and Technological Research Institute, State Grid Qinghai Electric Power Company, Xining 810000, China
Libin Yang: Economic and Technological Research Institute, State Grid Qinghai Electric Power Company, Xining 810000, China
Feng Xiao: School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2024, vol. 17, issue 5, 1-13

Abstract: In a high proportion of wind–photovoltaic–hydro hybrid power systems, fluctuation and dispersion make it difficult to accurately quantify the output characteristics. Therefore, in this study, a cloud model and copula correlation coefficient matrix were constructed for a hybrid power generation system based on the output data. Multiple backward cloud transformation based on the sampling-with-replacement method was proposed to calculate the improved entropy and hyperentropy to analyze the fluctuation range and dispersion degree quantitatively. A similarity index was proposed to evaluate the similarity between wind power, PV power, and hydropower. A suitable copula function was selected, and the Kendall and Spearman coefficients show the correlation relationships of the hybrid systems. The temporal and spatial characteristics of the hybrid systems were analyzed based on the two models. A typical example in Qinghai proved the effectiveness and applicability of the method. The results show that the correlation between photovoltaic power and hydropower is better and that, in summer, hydropower can be used to adjust the output of renewable energy.

Keywords: cloud model; copula function; hybrid power system; similarity index; correlation coefficient (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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