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Computes the total reward for a list of candidate following the reward function, with parallel processing. The storage volume is constant. These function is called inside parLapply().

Source: R/Optim_H2_multi_nodes_functions.R
total_cost_parallel_version.Rd

Computes the total reward for a list of candidate following the reward function, with parallel processing. The storage volume is constant. These function is called inside parLapply().

Usage

total_cost_parallel_version(
  candidate_index,
  new_candidate_grid,
  node,
  mc_years_optim,
  candidates_types,
  storage_vol,
  reward_db,
  cvar,
  opts,
  penalty_low,
  penalty_high,
  penalty_final_level,
  storage_annual_cost,
  storage_final_level,
  max_hydro_weekly,
  inflow
)

Arguments

candidate_index

Integer. Index of the candidate to study in new_candidate_grid. Argument passed to parLapply()

new_candidate_grid

List of cluster candidates to study at these iteration.

node

Character. Name of the area where the total reward is computed

mc_years_optim

Vector of integers. Monte Carlo years to compute reward

candidates_types

Data_frame with column names : c("index", "name", "type", "TOTEX", "Marg_price"). It is a parameter of MultiStock_H2_Investment_reward_compute_once.

storage_vol

Integer. Volume of the storage candidate

reward_db

List. List of rewards and decision space from the output of the function antaresWaterValues::get_Reward(). Rewards and decision spaces are given for each area marked by their number.

cvar

Numeric in [0,1]. The probability used in cvar algorithm.

opts

List of study parameters returned by the function antaresRead::setSimulationPath(simulation="input") in input mode.

penalty_low

Integer. Penalty for lower guide curve.

penalty_high

Integer. Penalty for higher guide curve.

penalty_final_level

Integer. Penalty for higher and lower final level.

storage_annual_cost

Numeric. Total annual cost of the storage candidate in eur/MWh

storage_final_level

Numeric in [0, 100]. Final and initial level in percentage of H2 storage. Must be in adequacy with the step number if the reward function.

max_hydro_weekly

Data.frame. Generated by get_max_hydro()

inflow

Generated by get_inflow()

Value

The total reward for the specified candidates in euros. Because of the Bellman values it is usually negative and large