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2 Annals of Computer Science and Information Systems

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Dynamic Communication Topologies for Distributed Heuristics in Energy System Optimization Algorithms

100%

Holly S. , Nieße A.

2021

tom Vol. 25

191--200

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.

Tool-assisted surrogate selection for simulation models in energy systems

70%

Balduin S. , Oest F. , Blank-Babazadeh M. , Nieße A. , Lehnhoff S.

Annals of Computer Science and Information Systems

2019

tom Vol. 18

185--192

Surrogate models have proved to be a suitable replacement for complex simulation models in various applications. Runtime considerations, complexity reduction and privacy concerns play a role in the decision to use a surrogate model. The choice of an appropriate surrogate model though is often tedious and largely dependent on the individual model properties. A tool can help to facilitate this process. To this end, we present a surrogate modeling process supporting tool that simplifies the process of generation and application of surrogate models in a co-simulation framework. We evaluate the tool in our application context, energy system co-simulation, and apply it to different simulation models from that domain with a focus on decentralized energy units.