Compute reward function for node with plaia implementation. The reward function of each week and each year is evaluated on nb_simulations controls. Called for each area of getBellmanValuesSequentialMultiStockWithPlaia(). If they are several areas, the trajectories of the other storage are fixed on their optimal_trend.

Compute reward function for node with plaia implementation. The reward function of each week and each year is evaluated on nb_simulations controls. Called for each area of getBellmanValuesSequentialMultiStockWithPlaia(). If they are several areas, the trajectories of the other storage are fixed on their optimal_trend.

Usage

calculateRewardsSimulationsWithPlaia(
  node,
  list_areas,
  list_efficiency,
  opts,
  mcyears,
  nb_simulations,
  optimal_traj,
  list_max_hydro_weekly
)

Arguments

node

Character. Name of the area where the reward is computed

list_areas

Vector of areas concerned by simulations.

list_efficiency

List of double. Efficiency for each area generated by getPumpEfficiency().

opts

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

mcyears

Vector of integer. Monte Carlo years used to compute water values.

nb_simulations

Number of controls to simulate

optimal_traj

Data frame containing optimal trajectory for all areas

list_max_hydro_weekly

List of data.frame. Generated by get_max_hydro() for each area.

Value

a data_frame containing the rewards returned by the function get_Reward()