We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
The Temporal and Spatial Characteristics of Wind–Photovoltaic–Hydro Hybrid Power Output Based on a Cloud Model and Copula Function †.
- Authors
Min, Haoling; He, Pinkun; Li, Chunlai; Yang, Libin; Xiao, Feng
- 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.
- Subjects
QINGHAI Sheng (China); COPULA functions; HYBRID power; RANK correlation (Statistics); RENEWABLE energy sources; HYBRID power systems; WIND power; STATISTICAL correlation
- Publication
Energies (19961073), 2024, Vol 17, Issue 5, p1024
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en17051024