A review on the complementarity between grid-connected solar
The literature survey revealed 41 papers that were analyzed in the manuscript. The combined use of wind and solar in many places results in a smoother power supply, which is
The review of the techniques that have been used to evaluate the complementarity of solar and wind energy systems shows that traditional statistical methods are mostly applied to assess complementarity of the resources, such as correlation coefficient, variance, standard deviation, percentile ranking, and mean absolute error.
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.
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
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.).
PDF version includes complete article with source references.
Get technical specifications, ROI analysis tools, and pricing information for our BESS integration and energy storage solutions.
Av. de la Innovación 15
28042 Madrid, Spain
+34 91 133 2769
Monday - Friday: 9:00 AM - 6:00 PM CET