On the Complementary Variability of the Solar and Wind
In this paper, we calculate this statistic for daily timescale while wind is more variable than solar at timescales beyond 13h. to ∆t''s stretching from 1h to 1d to 1w to 1m to 1y Figure 2: 2023
Assessing complementarity is a foundational work to combine wind and solar power to mitigate their fluctuations. Correlation coefficient is the most commonly used index to assess complementarity. But correlation coefficient mainly quantifies the synchronous and reverse correlations between wind and solar power.
The time-domain energy complementarity between wind and solar energy has been assessed in many sites, and correlation coefficients such as Pearson, Kendall, and Spearman are the most commonly used indexes in quantifying and evaluating the complementary properties between wind and solar power.
Further analysis reveals that the complementarity between wind and solar power would be overestimated once the fluctuation amplitude is ignored. Additionally, the proposed complementarity index can be used to optimize the installed capacity ratio of wind and solar power in a hybrid system.
The effects of distance and time scales on wind and solar resources complementarity are assessed. Including hydropower in the mix increases the penetration rate of solar and wind power. In all months, daily variability in total power is always reduced by incorporating solar capacity.
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