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windfarmGA (version 3.0.0)

Genetic Algorithm for Wind Farm Layout Optimization

Description

The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

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Version

Install

install.packages('windfarmGA')

Monthly Downloads

103

Version

3.0.0

License

MIT + file LICENSE

Maintainer

Sebastian Gatscha

Last Published

May 5th, 2021

Functions in windfarmGA (3.0.0)

grid_area

Make a grid from a Simple Feature Polygon
hole_shape

A POLYGON with a hole
init_population

Create a random initial Population
genetic_algorithm

Run a Genetic Algorithm to optimize a wind farm layout
plot_heatmap

Plot a heatmap of selected grid cells
plot_fitness_evolution

Plot the changes of min/mean/max fitness values
plot_result

Plot the best results
hexa_area

Polygon to Hexagonal Grid Tessellation
plot_windfarmGA

Plot the results of an optimization run
plot_random_search

Plot the result of a randomized output.
plot_viewshed

Plot viewshed results
plot_evolution

Plot the evolution of fitness values
plot_development

Plot the progress of populations
plot_leaflet

Plot a wind warm with leaflet
mutation

Mutation Method
multi_shape

A MULTIPOLYGON with 3 Polygons
get_dist_angles

Calculate distances and angles of possibly influencing turbines
windata_format

Transform Winddata
viewshed

Calculate visibility
windfarmGA

Run a Genetic Algorithm to optimize a wind farm layout
plot_windrose

Plot a Windrose
random_search

Randomize the output of the Genetic Algorithm
windfarmGA_

windfarmGA
permutations

Enumerate the Combinations or Permutations of the Elements of a Vector
get_grids

Get the Grid-IDs from binary matrix
random_search_single

Randomize the location of a single turbine
plot_cloud

Plot outputs of all generations with standard deviations
resultrect

A resulting matrix of genetic_algorithm with 200 iterations and a rectangular grid derived from sp_polygon
resulthex

A resulting matrix of genetic_algorithm with 10 iterations and a hexagonal grid derived from sp_polygon
rasterprofile

Sample values from a raster
trimton

Adjust the amount of turbines per windfarm
interpol_view

Plot an interpolated viewshed
isSpatial

Transform to Simple Feature Polygons
splitAt

Split matrices or numeric vectors at specific indices
plot_parkfitness

Plot the genetic algorithm results
readintegerSel

Check Input Selection Method
sp_polygon

The rectangular POLYGON used to create resultrect & resulthex
selection

Selection Method
readinteger

Check Input Crossover Method
turbine_influences

Find potentially influencing turbines
viewTo

Calculate Visibility between multiple locations
dup_coords

Splits duplicated coords (copy of geoR::dup.coords)
barometric_height

Calculates Air Density, Air Pressure and Temperature according to the Barometric Height Formula
getISO3

getISO3
big_shape

A POLYGON with an area of ~70 km2
cansee

Calculate Visibility between 2 locations
getDEM

Get DEM raster
fitness

Evaluate the Individual Fitness values
calculate_energy

Calculate Energy Outputs of Individuals
crossover

Crossover Method