Package index

Package Documentation

windfarmGA windfarmGA-package

windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Run an Optimization

genetic_algorithm()

Run a Genetic Algorithm to optimize a wind farm layout

ga_options()

Get or set windfarmGA options

explore_result()

Shiny explorer for a GA result

as_windfarmGA() print(<windfarmGA>) plot(<windfarmGA>)

Mark a genetic_algorithm result

Genetic Algorithm Components

Main components of the genetic algorithm

init_population()

Create a random initial Population

selection()

Selection Method

fitness()

Evaluate the Individual Fitness values

crossover()

Crossover Method

set_crossover()

Set crossover of turbine layouts

mutation()

Mutation Method

swap_mutation()

Swap mutation of turbine layouts

trimton()

Adjust the amount of turbines per windfarm

Topographic Model

terrain_model()

Get terrainhic rasters

Wind Energy Calculation Functions

barometric_height()

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

get_dist_angles()

Calculate distances and angles of possibly influencing turbines

turbine_influences()

Find potentially influencing turbines

calculate_energy()

Calculate Energy Outputs of Individuals

circle_intersection()

Get area of intersecting circles

Randomization

random_search()

Randomize the output of the Genetic Algorithm

random_search_single()

Randomize the location of a single turbine

plot_random_search()

Plot the result of a randomized output.

Plotting Functions

plot_cell_heatmap()

Heatmap of probed grid cells

plot_cloud()

Per-generation fitness / efficiency / energy

plot_development()

When the best layout improved

plot_evolution()

Energy and efficiency over generations

plot_generation()

Plot all layouts of one generation

plot_leaflet()

Plot a wind warm with leaflet

plot_parkfitness()

Fitness and operator rates

plot_population()

Plot population size, cells and efficiency

plot_power_curve()

Manufacturer power curve

plot_random_search()

Plot the result of a randomized output.

plot_result()

Plot the best results

plot_viewshed()

Plot visibility

plot_windfarmGA()

Plot the results of an optimization run

plot_windrose()

Plot a Windrose

generation_layouts()

Layouts evaluated in one generation

population_census()

Population size and diversity per generation

Viewshed Analysis Functions

plot_viewshed()

Plot visibility

Helper Functions

get_grids()

Map layouts to grid coordinates

grid_area()

Make a grid from a Simple Feature Polygon

hexa_area()

Polygon to Hexagonal Grids

windata_format()

Transform Winddata

wind_from_uv()

Wind rose from u/v components

wind_from_series()

Wind rose from speed and direction series

read_power_curve()

Read a manufacturer or NREL/IEA power-curve table

wake_cones()

Downwind wake search cones

isSpatial()

Transform to Simple Feature Polygons

permutations()

Enumerate the Combinations or Permutations of the Elements of a Vector

splitAt()

Split matrices or numeric vectors at specific indices

is_foreach_installed() is_parallel_installed() is_doparallel_installed() is_ggplot2_installed() is_leaflet_installed() is_elevatr_installed() is_plotly_installed() is_shiny_installed()

Is the package installed or not

Datasets

Results and Shapefiles included in the package.

resultrect

A resulting matrix of genetic_algorithm with 50 generations 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

sp_polygon

The rectangular POLYGON used to create resultrect & resulthex

big_shape

A POLYGON with an area of ~70 km2

hole_shape

A POLYGON with a hole

multi_shape

A MULTIPOLYGON with 3 Polygons