Scalable assessment method for agent-based control in cyber-physical distribution grids

This study proposes a scalable method to assess agent-based control concepts and deployment systems for cyber-physical electrical distribution grids. The deployment system of an agent-based control concept is the system that executes the agents and their interactions in a real implementation. Due to...

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Bibliographic Details
Main Authors: Sonja Happ, Stefan Dähling, Antonello Monti
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:IET Cyber-Physical Systems
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0096
Description
Summary:This study proposes a scalable method to assess agent-based control concepts and deployment systems for cyber-physical electrical distribution grids. The deployment system of an agent-based control concept is the system that executes the agents and their interactions in a real implementation. Due to the increasing number of controllable loads, generators, and storage systems installed in distribution grids, scalability of control concepts and deployment systems plays a key role. Hence, the assessment method for both has to be scalable itself. For this reason, the proposed method bases on DistAIX, an open-source scalable simulation tool for cyber-physical distribution grids designed for execution on distributed computing clusters. DistAIX is extended with an interface for coupling with the deployment system of the agent-based control approach. The performance of the proposed method is evaluated for an agent-based control concept called SwarmGrid-X and the deployment system cloneMAP. The results demonstrate the feasibility of the proposed method and exemplify the functionality and scalability of SwarmGrid-X and cloneMAP.
ISSN:2398-3396