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.

Is there a complementarity evaluation method for wind power?

However, less attention has been paid to quantify the level of complementarity of wind power, photovoltaic and hydropower. Therefore, this paper proposes a complementarity evaluation method for wind power, photovoltaic and hydropower by thoroughly examining the fluctuation of the independent and combined power generation.

Does the power station scale influence complementary characteristics?

Meanwhile, in order to eliminate the influence of the power station scale on complementary characteristics and facilitate the analysis of the complementarity between different renewable energies, the theoretical power generation of PV, WP, and HP is essential to be normalized.

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

Is there a complementarity between wind and solar energy?

Studying the complementarity between wind and solar energy is crucial for optimizing the use of these renewable resources. Multi-energy compensation systems need to consider multiple metrics, and current research relies on the correlation of single metrics to study this complementarity.