pypsa.optimization.optimize.OptimizationAccessor.solve_model

pypsa.optimization.optimize.OptimizationAccessor.solve_model#

OptimizationAccessor.solve_model(extra_functionality: Callable | None = None, solver_name: str = 'highs', solver_options: dict = {}, assign_all_duals: bool = False, **kwargs: Any) → tuple[str, str]#

Solve an already created model and assign its solution to the network.

Parameters:

  • solver_name (str) – Name of the solver to use.

  • solver_options (dict) – Keyword arguments used by the solver. Can also be passed via **kwargs.

  • assign_all_duals (bool, default False) – Whether to assign all dual values or only those that already have a designated place in the network.

  • **kwargs – Keyword argument used by linopy.Model.solve, such as solver_name, problem_fn or solver options directly passed to the solver.

Returns:

Contents