code: def reinforce(self, **kwargs):
          
          results = reinforce_grid(
              self, max_while_iterations=kwargs.get(
                  'max_while_iterations', 10),
              copy_graph=kwargs.get('copy_graph', False),
              timesteps_pfa=kwargs.get('timesteps_pfa', None),
              combined_analysis=kwargs.get('combined_analysis', False))
  
          # add measure to Results object
          if not kwargs.get('copy_graph', False):
              self.network.results.measures = 'grid_expansion'
  
          return results
docs: Reinforces the grid and calculates grid expansion costs.
  
          See :meth:`edisgo.flex_opt.reinforce_grid` for more information.