Enhancing Cyber-Physical Energy Systems Simulations Through Communication Behavior Classification
Radtke, Malin and Lehnhoff, Sebastian
European Simulation and Modelling Multiconference (ESM '24)
As energy and communication systems become more intertwined, a comprehensive understanding of their interaction and the potentially agent-based applications implemented therein becomes crucial. To facilitate this understanding, we propose a classification of communication behaviors within energy systems based on parameters such as packet sizes and frequencies. Our primary contribution is the introduction of a communication description model, presented as a morphological box. This model outlines both general and agent-specific characteristics of communication applications, providing a comprehensive guide for analyzing communication flows within cyber-physical energy systems in simulations. We demonstrate the utility of this model through its exemplary application for different communication applications within energy systems.
Oktober / 2024
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