simulate_mc

Perform Monte-Carlo simulation with various methods


Description

Repeat to simulate a scenario drawn from a specific distribution with oracle/centralized receding horizon/distributed receding horizon schemes.

Syntax

MC_out = simulate_mc(scenario_generator,N_sim)
MC_out = simulate_mc(scenario_generator,N_sim,Name=Value)

Input Arguments

Name

Type

Description

scenario_generator

AbstractScenarioGenerator

Scenario generator that generates scenarios

N_sim

positive integer

Number of repeated simulations

Name-Value Arguments

Name

Type

Description

H

12 (default) | positive integer

Number of time slots comprising the prediction horizon

rho

5000 (default) | nonnegative scalar

Penalty parameter

Lf_kP

1 (default) | positive scalar

Coupling gain (proportional) for distributed PI algorithm (Only for “dist”)

Lf_kI

1 (default) | positive scalar

Coupling gain (integral) for distributed PI algorithm (Only for “dist”)

Lf_time

400 (default) | positive scalar

Length of time interval on which PI dynamics is executed (Only for “dist”)

Lf_dt

0.0005 (default) | positive scalar

Stepsize for the Euler discritization of PI dynamics (Only for “dist”)

Lf_scale

0.05 (default) | positive scalar

Cost function scaling factor for PI dynamics (Only for “dist”)

Uf_iteration

40 (default) | positive integer

Number of iterations for the distributed algorithm (Only for “dist”)

Uf_K

30 (default) | positive integer

Number of fractional iterations for the distributed algorithm (Only for “dist”)

Uf_c

0.1 (default) | positive scalar

Parameter for the distributed algorithm (Only for “dist”)

Uf_theta

0 (default) | scalar

Parameter for the distributed algorithm (Only for “dist”)

quiet

false (default) | logical

On/off solver messages

oracle

true (default) | logical

Whether to perform oracle scheduling

cent

false (default) | logical

Whether to perform centralized receding horizon scheduling

dist

false (default) | logical

Whether to perform distributed receding horizon scheduling

Output Arguments

Name

Type

Description

MC_out

struct

Results including number of repetitions, charging schedules, cost, scenario information for each repetition, etc.