Compute Bellman values for several storage with plaia

For each storage, reward functions are evaluated and Bellman values are computed with plaia. Results are written directly to the output folder. Final level is equal to initial level for all storages.

Usage

getBellmanValuesWithPlaia(
  opts,
  mcyears,
  list_areas,
  force_final_level = TRUE,
  penalty_final_level = 0,
  penalty_low = 0,
  penalty_high = 0,
  cvar_value = 1,
  name_sim = "watervalues",
  n_controls = 51
)

Arguments

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.

list_areas

Vector of areas concerned by simulations.

force_final_level

Binary. Whether final level should be constrained.

penalty_final_level

Double. Penalties for both rule curves to constrain final level.

penalty_low

Double. Penalty for violating the bottom rule curve, comparable to the unsupplied energy cost.

penalty_high

Double. Penalty for violating the top rule curve, comparable to the spilled energy cost.

cvar_value

Double from 0 to 1. The probability used in cvar method.

name_sim

Character. Name of the simulation to launch

n_controls

Integer. Number of controls to evaluate reward functions.

Value

List of watervalues matrix