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

IET Cyber-Physical Systems Theory & Applications, vol. 5, pp. 283–291

Abstract

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.

Authors 3

1. Sonja Happ corresponding Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Mathieustraß e 10 52074 Aachen Germany

   Institute for Automation of Complex Power SystemsE.ON Energy Research CenterRWTH Aachen UniversityMathieustraß e 1052074AachenGermany

2. Stefan Dähling Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Mathieustraß e 10 52074 Aachen Germany

   Institute for Automation of Complex Power SystemsE.ON Energy Research CenterRWTH Aachen UniversityMathieustraß e 1052074AachenGermany

3. Antonello Monti Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Mathieustraß e 10 52074 Aachen Germany

   Institute for Automation of Complex Power SystemsE.ON Energy Research CenterRWTH Aachen UniversityMathieustraß e 1052074AachenGermany