knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = FALSE )
library(antaresEditObject)
Antares v8.0.3 allow to work with renewable energy sources, implemented in Antares as a new functionnality: renewables clusters. Here's a quick start guide to use those new features.
As always, setup the study you want to use:
tmp <- tempfile() createStudy(path = tmp, study_name = "res-study") opts <- setSimulationPath(tmp)
First you need to activate RES functionality, to do so you can use:
activateRES()
This will set renewable-generation-modelling
parameters to clusters
and create appropriate file structure to create RES clusters.
You can also update renewable-generation-modelling
parameters manually with:
updateOptimizationSettings(renewable.generation.modelling = "clusters")
Like thermal clusters, there's equivalent functions to create, edit and remove RES clusters:
# create an area to create a cluster in it createArea(name = "area51") # Create a renewable cluster createClusterRES( area = "area51", cluster_name = "ren01", add_prefix = FALSE ) # Use an other group and some parameters createClusterRES( area = "area51", cluster_name = "ren02", group = "Wind Offshore", nominalcapacity = 123, ts_interpretation = "production-factor", add_prefix = FALSE )
Edit an existing cluster with:
editClusterRES( area = "area51", cluster_name = "ren02", group = "Solar Rooftop", # new group add_prefix = FALSE )
And remove a cluster with:
removeClusterRES(area = "area51", cluster_name = "ren01")
There's a new type of serie allowed in scenario builder for renewable clusters called r
:
readScenarioBuilder()
$r [,1] [,2] [,3] area51 1 2 3
To update the scenario builder, you can use:
# generate scenario sbuilder <- scenarioBuilder(n_scenario = 51) # Update with: updateScenarioBuilder(ldata = sbuilder, series = "renewables") # OR updateScenarioBuilder(ldata = list(r = sbuilder))
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