Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize small wind farms consisting of up to 50 turbines. The algorithm works with a fixed amount of turbines, a fixed rotor radius and a mean wind speed value for every incoming wind direction. If required, it can include a terrain effect model which downloads an 'SRTM' elevation model automatically and loads a Corine Land Cover raster, which has to be downloaded previously. Further information can be found in the description of the function 'windfarmGA'. To start an optimization run, either the function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks the user inputs interactively and then runs the function 'genAlgo'. If the input parameters are already known, an optimization can be run directly via the function 'genAlgo'. Their output is identical.


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install.packages("windfarmGA")

1.1.1 by Sebastian Gatscha, 2 months ago


Browse source code at https://github.com/cran/windfarmGA


Authors: Sebastian Gatscha


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports rgdal, raster, sp, dplyr, data.table, gtools, maptools, calibrate, geoR, gstat, ggplot2, RColorBrewer, rgeos, RgoogleMaps, googleVis, rgl, leaflet, methods, spatstat, RandomFields, grDevices, graphics, stats, utils

Suggests magrittr


See at CRAN