Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

ISTRIBUTED heuristics are a promising field for current and future energy systems control and optimization tasks, In [12] we showed that different communication topologies and have been designed and evaluated in recent years on have an effect on the performance of the reflected algorithm agent-based systems [1] [2] [3]. While conventional control class: Highly meshed topologies converged into good solutions systems - centralized or hierarchical in their control paradigm - reliably and quickly, but increased communication overhead and perfectly fit to centralized generation and transmission systems, premature convergence. In contrast, results for sparsely meshed distributed renewable energy systems show properties that topologies were much less reliable. In the application domain promote the application of distributed optimization systems: of energy systems as critical infrastructures, this behavior is First, future energy systems can be regarded as complex highly unwanted. We presume that dynamically adjusting the systems of systems, sometimes framed as cyber-physical multienergy topology during runtime leads to a beneficial transition of systems, coupling communication systems, power, heat exploration and exploitation of the search space for distributed and gas systems.