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Vignettes 930 (#240)
* add vignettes 930 * add thematic * update vignettes * update Description * remove listviewer from suggests and replace by data.tree to fix package size NOTE
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DESCRIPTION

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covr,
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knitr,
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rmarkdown,
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listviewer
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data.tree
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VignetteBuilder: knitr
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Remotes:
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rte-antares-rpackage/antaresRead

vignettes/Antares_new_features_v920.Rmd

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```{r, echo=FALSE, message=FALSE, warning=FALSE}
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library(listviewer)
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jsonedit(res, mode = "view", options = list(collapsed = 1))
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library(data.tree)
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as.Node(res)
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```
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### Remove clusters
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---
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title: "Antares new features v9.3"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Antares new features v9.3}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteEncoding{UTF-8}
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---
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```{r, include = FALSE}
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knitr::opts_chunk$set(
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collapse = TRUE,
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comment = "#>"
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)
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```
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```{r setup}
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library(antaresEditObject)
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```
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This article will present the new features in line with **Antares v9.3** (cf [Antares Simulator](https://antares-simulator.readthedocs.io/en/latest/user-guide/04-migration-guides/#v930))
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## Create new study v9.3
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```{r init}
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dir_path <- tempdir()
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suppressWarnings(
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createStudy(path = dir_path,
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study_name = "test930",
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antares_version = "9.3")
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)
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```
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For Antares Simulator, format version is now "9.3". For packages, we make the adjustment and we keep "930".
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**Check version of my current study** :
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```{r}
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current_study_opts <- simOptions()
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current_study_opts$antaresVersion
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```
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Some minor changes to the creation of the study.
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Initializes the study by updating the `generaldata.ini` file :
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- The following properties were removed from settings/generaldata.ini.
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- refreshtimeseries
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- refreshintervalload
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- refreshintervalhydro
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- refreshintervalwind
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- refreshintervalthermal
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- refreshintervalsolar
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## Create area
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We just need create *areas* to create *st-storages*.
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```{r areas}
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createArea(name = "fr")
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createArea(name = "it")
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```
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## Short term storage
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We can create new clusters, st-storage (from v8.6), with function `createClusterST()`. You can see function documentation with `?createClusterST`.
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By default you can call function only with two parameters (`area`, `cluster_name`).
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Clusters are created with default properties and time series.
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### New properties
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you can create or edit new clusters with new properties (see doc `?createClusterST`).
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```{r default values}
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# new properties (default values)
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rmarkdown::paged_table(as.data.frame(storage_values_default(), check.names = FALSE))
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```
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```{r creation/properties}
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# creation
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my_parameters <- storage_values_default()
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my_parameters$`allow-overflow` <- TRUE
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createClusterST(area = "fr",
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cluster_name = "test_storage",
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group = "new_properties",
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storage_parameters = my_parameters,
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overwrite = TRUE)
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createClusterST(area = "it",
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cluster_name = "test_storage",
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group = "new_properties",
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storage_parameters = my_parameters,
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overwrite = TRUE)
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# read cluster properties
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tab <- readClusterSTDesc()
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rmarkdown::paged_table(tab)
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```
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```{r edit/properties}
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# edit properties of existing st-storage cluster
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my_parameters$`allow-overflow` <- FALSE
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editClusterST(area = "fr",
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cluster_name = "test_storage",
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storage_parameters = my_parameters)
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# read cluster properties
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tab <- readClusterSTDesc()
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rmarkdown::paged_table(tab)
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```
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### New dimension of **time series**
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All matrices will be of (8760, N), noting that N >= 1
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```{r create/ts}
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# creation
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ratio_value <- matrix(0.7, 8760,2)
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# default properties with new optional TS
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createClusterST(area = "fr",
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cluster_name = "good_ts_value",
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cost_injection = ratio_value,
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cost_withdrawal = ratio_value,
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cost_level = ratio_value,
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cost_variation_injection = ratio_value,
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cost_variation_withdrawal = ratio_value)
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# read cluster TS values
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tab <- readInputTS(st_storage = "all",
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showProgress = FALSE)
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rmarkdown::paged_table(head(tab))
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```
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```{r edit/ts}
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# edit TS values of existing st-storage cluster
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new_ratio_value <- matrix(0.85, 8760,3)
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# edit everything or anyone you want
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editClusterST(area = "fr",
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cluster_name = "good_ts_value",
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cost_injection = new_ratio_value,
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cost_withdrawal = new_ratio_value)
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# read cluster TS values
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tab <- readInputTS(st_storage = "all",
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showProgress = FALSE)
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rmarkdown::paged_table(head(tab))
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```
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### Additional
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All RHS will be of (8760, N), noting that N >= 1
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```{r, message=FALSE}
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# Create
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good_ts <- matrix(0.7, nrow = 8760, ncol =3)
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createClusterST(area = "fr",
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cluster_name = "RHS_new_dimensions",
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storage_parameters = my_parameters,
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PMAX_injection = NULL,
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PMAX_withdrawal = NULL,
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inflows = NULL,
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lower_rule_curve = NULL,
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upper_rule_curve = NULL,
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cost_injection = NULL,
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cost_withdrawal = NULL,
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cost_level = NULL,
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cost_variation_injection = NULL,
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cost_variation_withdrawal =NULL,
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constraints_properties = list(
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"test"=list(
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variable = "withdrawal",
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operator = "equal",
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hours = c("[1,3,5]",
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"[120,121,122,123,124,125,126,127,128]")
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#enabled = FALSE
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),
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"test2"=list(
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variable = "netting",
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operator = "less",
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hours = c("[1, 168]")
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)),
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# constraints_ts
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constraints_ts = list(
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"test" = good_ts,
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"test2" = good_ts
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))
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# Edit
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good_ts <- matrix(0.7, nrow = 8760, ncol =2)
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editClusterST (area = "fr",
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cluster_name = "RHS_new_dimensions",
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constraints_ts = list(
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"test" = good_ts,
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"test2" = good_ts
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) ,
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add_prefix = TRUE)
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#Read
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res=read_storages_constraints()
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```
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```{r, echo=FALSE, message=FALSE, warning=FALSE}
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library(data.tree)
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as.Node(res)
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```
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### Remove clusters
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Nothing has changed to remove clusters.
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```{r remove}
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# read cluster names
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levels(readClusterSTDesc()$cluster)
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# remove a cluster
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removeClusterST(area = "fr",
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cluster_name = "good_ts_value")
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# read cluster
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tab <- readClusterSTDesc()
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rmarkdown::paged_table(tab)
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```
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## Generaldata
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The “generaldata.ini” settings file (*settings/generaldata.ini*) contains several sections.
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Antares Simulator v9.3 deletes some parameters:
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- *general/refreshtimeseries*
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- *general/refreshintervalload*
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- *general/refreshintervalhydro*
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- *general/refreshintervalwind*
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- *general/refreshintervalthermal*
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- *general/refreshintervalsolar*
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A message is displayed.
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```{r generaldata}
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# user messages
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updateGeneralSettings(
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refreshtimeseries = 100,
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refreshintervalload = 100,
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refreshintervalhydro = 100,
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refreshintervalwind = 100,
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refreshintervalthermal = 100,
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refreshintervalsolar = 100)
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```
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## Scenario builder
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The scenario builder allows you to use a new code `sts` for short-term storage inflows in the following format : sts,area,year,storage = TS number.
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The scenario builder allows you to use a new code `sta` for short-term storage additional constraints in the following format : sta,area,year,storage,constraint = TS number.
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```{r scenariobuilder}
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#Add sts
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createClusterST(area = "fr",
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cluster_name = "Scenario_builder_sts")
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ldata <- scenarioBuilder(
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n_scenario = 5,
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n_mc = 5,
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areas = "fr"
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)
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updateScenarioBuilder(ldata = ldata,
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series = "sts")
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#Add sta
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name_no_prefix <- "add_constraints_sta"
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constraints_properties <- list(
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"withdrawal-1"=list(
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variable = "withdrawal",
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operator = "equal",
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hours = c("[1,3,5]",
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"[120,121,122,123,124,125,126,127,128]")
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),
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"netting-1"=list(
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variable = "netting",
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operator = "less",
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hours = c("[1, 168]")
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))
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createClusterST(area = "fr",
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cluster_name = name_no_prefix,
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constraints_properties = constraints_properties)
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ldata <- scenarioBuilder(
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n_scenario = 5,
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n_mc = 5,
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areas = "fr"
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)
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updateScenarioBuilder(ldata = ldata,
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series = "sta")
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readScenarioBuilder(as_matrix = TRUE)
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```
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## Thematic
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In settings/generaldata.ini, in section variables selection, the following variables were removed:
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- *variables selection/NUCLEAR*
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- *variables selection/LIGNITE*
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- *variables selection/COAL*
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- *variables selection/BATTERY*
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- *variables selection/GAS*
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- *variables selection/OIL*
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- *variables selection/MIX. FUEL*
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- *variables selection/MISC. DTG*
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- *variables selection/MISC. DTG 2*
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- *variables selection/MISC. DTG 3*
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- *variables selection/MISC. DTG 4*
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They're replaced by the dynamic variable DISPATCH. GEN.
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The following variables were removed:
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- *variables selection/WIND OFFSHORE*
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- *variables selection/WIND ONSHORE*
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- *variables selection/SOLAR CONCRT.*
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- *variables selection/SOLAR PV*
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- *variables selection/SOLAR ROOFT*
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- *variables selection/RENW. 1*
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- *variables selection/RENW. 2*
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- *variables selection/RENW. 3*
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- *variables selection/RENW. 4*
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They're replaced by the dynamic variable RENEWABLE GEN.
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```{r}
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#List of variables version >=9.3
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vector_select_vars= list_thematic_variables()
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#Add all variables
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list_thematic=setThematicTrimming(selection_variables = vector_select_vars$col_name[68:72])
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list_thematic$parameters$`variables selection`
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```
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```{r delete study, include=FALSE}
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# Delete study
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unlink(current_study_opts$studyPath,
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recursive = TRUE)
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# clean global options
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options(antares = NULL)
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```
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