Source code for pyomo.contrib.mpc.interfaces.var_linker

#  ___________________________________________________________________________
#
#  Pyomo: Python Optimization Modeling Objects
#  Copyright (c) 2008-2024
#  National Technology and Engineering Solutions of Sandia, LLC
#  Under the terms of Contract DE-NA0003525 with National Technology and
#  Engineering Solutions of Sandia, LLC, the U.S. Government retains certain
#  rights in this software.
#  This software is distributed under the 3-clause BSD License.
#  ___________________________________________________________________________

from pyomo.contrib.mpc.interfaces.copy_values import copy_values_at_time


[docs] class DynamicVarLinker(object): """ The purpose of this class is so that we do not have to call find_component or construct ComponentUIDs in a loop when transferring values between two different dynamic models. It also allows us to transfer values between variables that have different names in different models. """
[docs] def __init__( self, source_variables, target_variables, source_time=None, target_time=None ): # Right now all the transfers I can think of only happen # in one direction if len(source_variables) != len(target_variables): raise ValueError( "%s must be provided two lists of time-indexed variables " "of equal length. Got lengths %s and %s" % (type(self), len(source_variables), len(target_variables)) ) self._source_variables = source_variables self._target_variables = target_variables self._source_time = source_time self._target_time = target_time
def transfer(self, t_source=None, t_target=None): if t_source is None and self._source_time is None: raise RuntimeError( "Source time points were not provided in the transfer method " "or in the constructor." ) elif t_source is None: t_source = self._source_time if t_target is None and self._target_time is None: raise RuntimeError( "Target time points were not provided in the transfer method " "or in the constructor." ) elif t_target is None: t_target = self._target_time copy_values_at_time( self._source_variables, self._target_variables, t_source, t_target )