mp.load_dm

mp.load_dm(d, task_class, mpopt, varargin)

mp.load_dm() - Load a MATPOWER data model.

dm = mp.load_dm(d)
dm = mp.load_dm(d, task_class)
dm = mp.load_dm(d, task_class, mpopt)
dm = mp.load_dm(d, task_class, mpopt, ...)
[dm, task] = mp.load_dm(...)

Uses a task object to load a MATPOWER data model object, optionally returning the task object as well.

The resulting data model object can later be passed to run_pf(), run_cpf(), run_opf(), or directly to the run() method of the task object.

Inputs:

d – data source specification, currently assumed to be a MATPOWER case name or case struct (mpc)
task_class (function handle) – (optional) handle to constructor of task class, (default is mp.task_opf )
mpopt (struct) – (optional) MATPOWER options struct

Additional optional inputs can be provided as <name>, <val> pairs, with the following options:
- 'mpx' - MATPOWER extension or cell array of MATPOWER extensions to apply

Outputs:

dm (mp.data_model) – data model object
task (mp.task) – task object containing the solved run including the data, network, and mathematical model objects.