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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Wiley
2020-04-01
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Series: | IET Cyber-Physical Systems |
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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. |
first_indexed | 2024-12-16T16:48:58Z |
format | Article |
id | doaj.art-cb59bdb35529439eb8f7e9efa69d5cfb |
institution | Directory Open Access Journal |
issn | 2398-3396 |
language | English |
last_indexed | 2024-12-16T16:48:58Z |
publishDate | 2020-04-01 |
publisher | Wiley |
record_format | Article |
series | IET Cyber-Physical Systems |
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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