schedule_rh

Schedule in a receding horizon manner

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Description

Schedule for a scenario using receding horizon scheme.

Syntax

out = schedule_rh(scenario,algorithm_type)
out = schedule_rh(scenario,algorithm_type,Name=Value)

Input Arguments

Name	Type	Description
scenario	Scenario object	Scenario object that specifies the optimization problem
algorithm_type	“cent” | “dist”	Type of algorithm, either “cent” for centralized or “dist” for distributed algorithm

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

Output Arguments

Name	Type	Description
out	struct	Results including charging schedules, cost, solved scenario, etc.