  Renewable energies are deployed worldwide to mitigate climate change and push
power systems towards sustainability. However, the weather-dependent nature of
renewable energy sources often hinders their integration to national grids.
Combining different sources to profit from beneficial complementarity has often
been proposed as a partial solution to overcome these issues. This paper
introduces a novel method for quantifying total temporal energetic
complementarity between three different variable renewable sources, based on
well-known mathematical techniques: correlation coefficients and compromise
programming. It has the major advantage of allowing the simultaneous assessment
of partial and total complementarity. The method is employed to study the
complementarity of wind, solar and hydro resources on different temporal scales
in a region of Poland. Results show that timescale selection has a determinant
impact on the total temporal complementarity.
