Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup--------------------------------------------------------------------
# CRAN limite CPU usage
data.table::setDTthreads(2)
library(antaresEditObject)
## ----init---------------------------------------------------------------------
dir_path <- tempdir()
createStudy(path = dir_path,
study_name = "test860",
antares_version = "8.6.0")
## ----areas--------------------------------------------------------------------
createArea(name = "fr")
createArea(name = "it")
## ----st-storage---------------------------------------------------------------
inflows_data <- matrix(3, 8760)
ratio_values <- matrix(0.7, 8760)
createClusterST(area = "fr",
cluster_name = "test_storage",
storage_parameters = storage_values_default(),
PMAX_injection = ratio_values,
PMAX_withdrawal = ratio_values,
inflows = inflows_data,
lower_rule_curve = ratio_values,
upper_rule_curve = ratio_values,
overwrite = TRUE)
createClusterST(area = "it",
cluster_name = "test_storage",
storage_parameters = storage_values_default(),
PMAX_injection = ratio_values,
PMAX_withdrawal = ratio_values,
inflows = inflows_data,
lower_rule_curve = ratio_values,
upper_rule_curve = ratio_values,
overwrite = TRUE)
## ----study options------------------------------------------------------------
opts <- simOptions()
opts$areasWithSTClusters
## ----read st-storage param----------------------------------------------------
tab <- readClusterSTDesc()
rmarkdown::paged_table(tab)
## ----read st-storage data-----------------------------------------------------
data_st_storage <- readInputTS(st_storage = "all")
rmarkdown::paged_table(head(data_st_storage))
## ----edit st-storage----------------------------------------------------------
# edit parameters values
list_params_st <- storage_values_default()
list_params_st$efficiency <- 0.5
list_params_st$reservoircapacity <- 50
# edit data values
inflows_data <- matrix(4, 8760)
editClusterST(area = "fr",
cluster_name = "test_storage",
storage_parameters = list_params_st,
inflows = inflows_data,
add_prefix = TRUE)
# read parameters
tab <- readClusterSTDesc()
rmarkdown::paged_table(tab)
# read data
data_st_storage <- readInputTS(st_storage = "all")
rmarkdown::paged_table(head(data_st_storage))
## ----remove st-storage opts---------------------------------------------------
# remove cluster
removeClusterST(area = "fr",
cluster_name = "test_storage",
add_prefix = TRUE)
# delete control
opts <- simOptions()
opts$areasWithSTClusters
## ----remove st-storage--------------------------------------------------------
# control removed parameters
tab <- readClusterSTDesc()
rmarkdown::paged_table(head(tab))
# control removed data
data_st_storage <- readInputTS(st_storage = "all")
rmarkdown::paged_table(head(data_st_storage))
unique(data_st_storage$area)
## -----------------------------------------------------------------------------
# create cluster with pollutants
# pollutants
all_param_pollutants <- list_pollutants_values(multi_values = 0.25)
createCluster(area = "fr",
cluster_name = "test_pollutant",
unitcount = 1L,
marginal_cost = 50,
list_pollutants = all_param_pollutants,
time_series = matrix(rep(c(0, 8000), each = 24*364), ncol = 2),
prepro_modulation = matrix(rep(c(1, 1, 1, 0), each = 24*365), ncol = 4)
)
## ----pollutants param---------------------------------------------------------
# read parameters
param_th_cluster <- readClusterDesc()
rmarkdown::paged_table(param_th_cluster)
## ----edit pollutants----------------------------------------------------------
# editing
edit_param_pollutants <- list_pollutants_values(multi_values = 0.3)[1:3]
editCluster(area = "fr",
cluster_name = "test_pollutant",
unitcount = 2L,
list_pollutants = edit_param_pollutants)
# read parameters
param_th_cluster <- readClusterDesc()
rmarkdown::paged_table(param_th_cluster)
## ----schema combinatoire , echo=FALSE, fig.cap="", out.width = '50%', fig.align='center'----
knitr::include_graphics("schemas/mingen_hydro_rules.png")
## ----schema, echo=FALSE, fig.cap="", out.width = '75%', fig.align='center'----
# path_image <- sourcedir860 <- system.file("doc/schemas", package = "antaresEditObject")
# knitr::include_graphics(file.path(path_image,"mingen.png"))
knitr::include_graphics("schemas/mingen_draw.png")
## ----hydro ini----------------------------------------------------------------
# see hydro parameters
path_file_hydro <- file.path("input", "hydro", "hydro.ini")
hydro_ini_values <- readIni(pathIni = path_file_hydro)
hydro_params <- c('follow load', 'use heuristic', "reservoir")
hydro_ini_values[hydro_params]
## ----edit mod-----------------------------------------------------------------
# Initialize mingen data (time series)
mingen_data = matrix(0.06,8760,5)
# 1 - edit mod file (time series)
mod_data = matrix(6,365,5)
suppressWarnings(
writeInputTS(area = "fr", type = "hydroSTOR",
data = mod_data,
overwrite = TRUE)
)
## ----edit maxpower------------------------------------------------------------
# 2 - edit maxpower
maxpower_data <- matrix(6,365,4)
suppressWarnings(
writeHydroValues(area = "fr",
type = "maxpower",
data = maxpower_data)
)
## ----edit mingen--------------------------------------------------------------
# 3 - edit mingen
suppressWarnings(
writeInputTS(area = "fr", type = "mingen",
data = mingen_data,
overwrite = TRUE)
)
## ----read mingen--------------------------------------------------------------
# read input time series
read_ts_file <- readInputTS(mingen = "all")
rmarkdown::paged_table(head(read_ts_file))
## ----delete study, include=FALSE----------------------------------------------
# Delete study
unlink(opts$studyPath,
recursive = TRUE)
# clean global options
options(antares = NULL)
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