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Get Sharing of RR and FRR Capacity (SO GL 190.1)

Source: R/en_balancing.R
sharing_of_rr_and_frr_capacity.Rd

Sharing of Replacement Reserve and Frequency Restoration Reserve capacity in the same Synchronous Area.

Usage

sharing_of_rr_and_frr_capacity(
  eic_acquiring = NULL,
  eic_connecting = NULL,
  process_type = NULL,
  period_start = ymd(Sys.Date() - days(x = 7L), tz = "CET"),
  period_end = ymd(Sys.Date(), tz = "CET"),
  tidy_output = TRUE,
  security_token = Sys.getenv("ENTSOE_PAT")
)

Arguments

eic_acquiring

Energy Identification Code of the acquiring domain

eic_connecting

Energy Identification Code of the connecting domain

process_type

type of reserve "A56" FRR "A46" RR

period_start

POSIXct or YYYY-MM-DD HH:MM:SS format One year range limit applies

period_end

POSIXct or YYYY-MM-DD HH:MM:SS format One year range limit applies

tidy_output

Defaults to TRUE. flatten nested tables

security_token

Security token for ENTSO-E transparency platform

Value

A tibble::tibble() with the queried data.

See also

Other balancing endpoints: activated_balancing_prices(), aggregated_balancing_energy_bids(), allocation_of_cross_zonal_balancing_cap(), balancing_border_cap_limit(), balancing_energy_bids(), changes_to_bid_availability(), contracted_reserves(), current_balancing_state(), elastic_demands(), exchanged_volumes(), exchanged_volumes_per_border(), fcr_total_capacity(), financial_expenses_and_income(), hvdc_link_constrains(), imbalance_prices(), imbalance_volumes(), netted_volumes(), netted_volumes_per_border(), procured_balancing_capacity(), rr_and_frr_actual_capacity(), shares_of_fcr_capacity()

Examples

if (FALSE) { # \dontrun{
df1 <- entsoeapi::sharing_of_rr_and_frr_capacity(
  eic_acquiring = "10YCB-GERMANY--8",
  eic_connecting = "10YAT-APG------L",
  process_type = "A46",
  period_start = lubridate::ymd(x = "2025-10-01", tz = "CET"),
  period_end = lubridate::ymd(x = "2025-12-31", tz = "CET"),
  tidy_output = TRUE
)

dplyr::glimpse(df1)

df2 <- entsoeapi::sharing_of_rr_and_frr_capacity(
  eic_acquiring = "10YCB-GERMANY--8",
  eic_connecting = "10YAT-APG------L",
  process_type = "A56",
  period_start = lubridate::ymd(x = "2025-10-01", tz = "CET"),
  period_end = lubridate::ymd(x = "2025-12-31", tz = "CET"),
  tidy_output = TRUE
)

dplyr::glimpse(df2)
} # }