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
Previous studies have primarily used the Pearson correlation coefficient (CC) and similar metrics to evaluate the complementarity of wind and solar resources. For instance, Che et al. directly calculated Pearson CC to analyze the complementarity between wind and solar power and between wind and hydropower.
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.).
Moreover, in 2018, Zhang et al. proposed a model to estimate the spatial and temporal complementarities of wind-solar energy. It adopted the ramp rate to evaluate the variability concisely, and used the synergy coefficient to express the mutual complementarity between wind and solar energy.
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Under normal circumstances, the absolute value of the voltage to ground at the positive or negative terminals should be between 100 ~ 1000 V, gradually dropping within 20V …
A measure of wind-solar complementarity coefficient R is proposed in this paper. Utilizes the copula function to settle the Spearman and Kendall correlation coefficients …
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In this model, a tri-level framework was applied based on data mining, but the diurnal fluctuations analysis of wind and solar energy for typical days and the verification of …
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