pypsa.optimization.optimize.OptimizationAccessor.optimize_with_rolling_horizon

pypsa.optimization.optimize.OptimizationAccessor.optimize_with_rolling_horizon#

OptimizationAccessor.optimize_with_rolling_horizon(snapshots: Sequence | None = None, horizon: int = 100, overlap: int = 0, **kwargs: Any) → Network#

Optimizes the network in a rolling horizon fashion.

Parameters:

  • n (pypsa.Network)

  • snapshots (list-like) – Set of snapshots to consider in the optimization. The default is None.

  • horizon (int) – Number of snapshots to consider in each iteration. Defaults to 100.

  • overlap (int) – Number of snapshots to overlap between two iterations. Defaults to 0.

  • **kwargs – Keyword argument used by linopy.Model.solve, such as solver_name,

Return type:

None

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