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Radtke, Malin and Frost, Emilie and Holly, Stefanie and Nieße, Astrid and Lehnhoff, Sebastian

Booktitle

Agents and Artificial Intelligence

Abstract

Multi-Agent Systems (MASs) are increasingly adopted in energy system applications for their effectiveness in managing distributed resources and enabling sophisticated coordination. Although integrating Information and Communication Technology enhances grid flexibility through Cyber-Physical Energy Systems, it also introduces communication network dependencies that require systematic analysis. This paper presents a structured methodology for analyzing MAS behavior under communication network influence and demonstrates its application. Our methodology provides a comprehensive guideline categorizing critical parameters affecting MAS performance. The guideline enables systematic investigation of communication-system interactions across different research contexts and scales. Three exemplary analyses demonstrate the methodology's versatility: field trial preparation for determining optimal system parameters, theoretical scalability investigation under communication constraints, and cyber security assessment during critical operations. Results show that the structured approach successfully identifies critical parameter inter-dependencies often overlooked in ad hoc analyses. The methodology enables informed decision-making about system design and deployment strategies, ensuring systematic evaluation of communication impacts before field implementations.

Publishing date

2026

Type of Publication

inproceedings

Publisher

Springer Nature Switzerland

Pages

301-315

Projects

DEER
Dezentraler Redispatch (DEER): Schnittstellen für die Flexibilitätsbereitstellung