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The current upheaval in the electricity sector demands distributed generation  schemes that take into account individually configured energy units and new  grid structures. At the same time, this change is heading for a paradigm  shift in controlling these energy resources within the grid. Pro-active  scheduling of active power within a (from a controlling perspective) loosely  coupled group of distributed energy resources demands for distributed  planning and optimization methods that take into account the individual  feasible region in local search spaces modeled by surrogate models. We  propose a method that uses support vector based black-box models for  re-constructing feasible regions for automated, local solution repair during  scheduling and combine it with a distributed greedy approach for finding an  appropriate partition of a desired target schedule into operable schedules  for each participating energy unit.

Model-based integration of constrained search spaces into distributed planning of active power provision