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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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
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author Sonja Happ
Stefan Dähling
Stefan Dähling
Antonello Monti
Antonello Monti
author_facet Sonja Happ
Stefan Dähling
Stefan Dähling
Antonello Monti
Antonello Monti
author_sort Sonja Happ
collection DOAJ
description 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.
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spelling doaj.art-cb59bdb35529439eb8f7e9efa69d5cfb2022-12-21T22:24:05ZengWileyIET Cyber-Physical Systems2398-33962020-04-0110.1049/iet-cps.2019.0096IET-CPS.2019.0096Scalable assessment method for agent-based control in cyber-physical distribution gridsSonja Happ0Stefan Dähling1Stefan Dähling2Antonello Monti3Antonello Monti4Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen UniversityInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen UniversityInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen UniversityInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen UniversityInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen UniversityThis 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.https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0096power gridscyber-physical systemspower engineering computingpower distribution controlscalable assessment methodcyber-physical electrical distribution gridsopen-source scalable simulation toolagent-based control approachdeployment system clonemapdistaixdistributed computing clusterswarmgrid-x
spellingShingle Sonja Happ
Stefan Dähling
Stefan Dähling
Antonello Monti
Antonello Monti
Scalable assessment method for agent-based control in cyber-physical distribution grids
IET Cyber-Physical Systems
power grids
cyber-physical systems
power engineering computing
power distribution control
scalable assessment method
cyber-physical electrical distribution grids
open-source scalable simulation tool
agent-based control approach
deployment system clonemap
distaix
distributed computing cluster
swarmgrid-x
title Scalable assessment method for agent-based control in cyber-physical distribution grids
title_full Scalable assessment method for agent-based control in cyber-physical distribution grids
title_fullStr Scalable assessment method for agent-based control in cyber-physical distribution grids
title_full_unstemmed Scalable assessment method for agent-based control in cyber-physical distribution grids
title_short Scalable assessment method for agent-based control in cyber-physical distribution grids
title_sort scalable assessment method for agent based control in cyber physical distribution grids
topic power grids
cyber-physical systems
power engineering computing
power distribution control
scalable assessment method
cyber-physical electrical distribution grids
open-source scalable simulation tool
agent-based control approach
deployment system clonemap
distaix
distributed computing cluster
swarmgrid-x
url https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0096
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AT stefandahling scalableassessmentmethodforagentbasedcontrolincyberphysicaldistributiongrids
AT antonellomonti scalableassessmentmethodforagentbasedcontrolincyberphysicaldistributiongrids
AT antonellomonti scalableassessmentmethodforagentbasedcontrolincyberphysicaldistributiongrids