Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

Abstract

The communication topology is an essential aspect in designing distributed optimization heuristics. It can influence the exploration and exploitation of the search space and thus the optimization performance in terms of solution quality, convergence speed and collaboration costs -relevant aspects for applications operating critical infrastructure in energy systems. In this work, we present an approach for adapting the communication topology during runtime, based on the principles of simulated annealing. We compare the approach to common static topologies regarding the performance of an exemplary distributed optimization heuristic. Finally, we investigate the correlations between fitness landscape properties and defined performance metrics.

Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems

“…Further, distributed operating systems require a communication topology. Therefore, investigating coupled multi-carrier networks and their informational topologies, which significantly impact the solution quality in distributed optimization [9], from a complex systems point of view, seems natural.…”