What is the complementary coefficient between wind power stations and photovoltaic stations?
Utilizing the clustering outcomes, we computed the complementary coefficient R between the wind speed of wind power stations and the radiation of photovoltaic stations, resulting in the following complementary coefficient matrix (Fig. 17.).
Which cluster of wind power stations exhibit the weakest complementarity with radiation?
Analysis of the matrix reveals that the 4th, 5th, 7th, and 8th clusters of wind power stations exhibit the weakest complementarity with the radiation of photovoltaic stations. In contrast, the 5th, 7th, 8th, and 10th clusters of photovoltaic stations similarly demonstrate poor complementarity with the wind speed of wind power stations.
How will wind and solar complementarity change in China?
The wind and solar complementarity in China is lower in the east and higher in the west. On an hourly scale, the complementary shows a downward trend, especially in central and eastern China. The peak-valley difference and fluctuation of net load demand will increase in China particularly under SSP5-8.5.
How can a complementary development of wind and photovoltaic energy help?
The complementary development of wind and photovoltaic energy can enhance the integration of variable renewables into the future energy structure. It can be employed as a unified solution to address the discrepancy between the supply and demand of power within the power system .
How to measure complementarity between wind speed and radiation?
The Kendall CC, Spearman CC, and fluctuation coefficient are combined to construct a comprehensive measure of the complementarity between wind speed and radiation, which provides a reliable tool for quantitatively evaluating the complementary characteristics of wind and solar energy. 2. A copula-based wind-solar complementarity coefficient R
Are wind power and solar energy correlated with load demand in China?
On the daily and monthly scales, except for the southeast region, the total output of wind power and solar energy is negatively correlated with the load demand in most regions of China, indicating that the characteristics of total output of wind power and solar energy are poorly matched with the daily and monthly characteristics of load.
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