A review on the complementarity between grid-connected solar
The main aim of this article is to make a critical review of state-of-the-art approaches to determine the complementarity between grid-connected solar and wind power systems,
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.
Couto and Estanqueiro have assessed wind and solar photovoltaic complementarity for hybridizing previously existing wind farms in Portugal.
In Oklahoma (USA), using the Complementary Index of Wind and Solar Radiation (CIWS) which is the total area between the two curves (wind and solar) it was concluded that the average level of complementarity between wind and insolation is 46 percent of the theoretical maximum CIWS value (Li et al., 2011).
Couto and Estanqueiro have proposed a method to explore the complementarity of primary wind and solar resources and the demand for electricity in planning the expansion of electrical power systems.
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