A distributed greedy algorithm for constraint-based scheduling of energy resources

The current upheaval in the electricity sector is leading to distributed generation schemes and new grid structures. At the same time, this change is heading for a paradigm shift in controlling energy resources within the grid. Proactive scheduling of active power within a (from a controlling perspective) loosely coupled group of distributed energy resources demands for distributed optimization methods that take into account the individual feasible region in local search spaces. We propose a method that uses support vector based black-box models for 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 actor.