Swarm‐based automation of electrical power distribution and transmission system support

Dähling, Stefan; Kolen, Sonja; Monti, Antonello

doi:10.1049/iet-cps.2018.5001

Cited by 5 publications

(19 citation statements)

References 41 publications

(54 reference statements)

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“…Part I of the proposed method was already successfully applied to an agent‐based concept [6]. Since simulation results obtained with DistAIX in Part I are deterministic, scenarios can be tested with parameter variations in a systematic and reproducible way.…”

Section: Proposed Scalable Assessment Methodsmentioning

confidence: 99%

“…The proposed assessment method is applied to a use case consisting of the agent‐based control concept SwarmGrid‐X [6] and the open‐source deployment system cloud‐native Multi‐Agent Platform (cloneMAP) [27]. SwarmGrid‐X is selected since this concept is already comprehensively introduced and analysed in previous work [6] where it has proven its functionality and scalability in simulations. However, there exists no study yet that assesses an implementation of SwarmGrid‐X for a deployment system.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

“…For both parts of the assessment, a simulation time step of 1 s is used. This choice was made based on the evaluation of results presented in [6], which indicate that this time step is sufficient to capture relevant characteristics of SwarmGrid‐X. However, the proposed assessment method is not limited to this time step.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

“…SwarmGrid‐X is an agent‐based control concept for flexible components in distribution grids introduced by the authors in [6]. One agent is assigned to each flexible component.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

“…The agent topology and control architecture can be seen in Fig. 1, published in [6]. Substation agents represent the underlying grid in the superior grid and act as a single prosumer.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

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

Happ

Dähling

Monti

2020

IET cyber-phys. syst.

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This study proposes a scalable method to assess agent-based control concepts and deployment systems for cyberphysical 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 opensource 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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Section: Proposed Scalable Assessment Methodsmentioning

confidence: 99%

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

“…SwarmGrid‐X is an agent‐based control concept for flexible components in distribution grids introduced by the authors in [6]. One agent is assigned to each flexible component.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

“…The agent topology and control architecture can be seen in Fig. 1, published in [6]. Substation agents represent the underlying grid in the superior grid and act as a single prosumer.…”

Section: Use Case: Swarmgrid‐x and Clonemapmentioning

confidence: 99%

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

Happ

Dähling

Monti

2020

IET cyber-phys. syst.

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Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

Dähling

Razik

Monti

2021

Auton Agent Multi-Agent Syst

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Multi-agent systems (MAS) represent a distributed computing paradigm well suited to tackle today’s challenges in the field of the Internet of Things (IoT). Both share many similarities such as the interconnection of distributed devices and their cooperation. The combination of MAS and IoT would allow the transfer of the experience gained in MAS research to the broader range of IoT applications. The key enabler for utilizing MAS in the IoT is the ability to build large-scale and fault-tolerant MASs since IoT concepts comprise possibly thousands or even millions of devices. However, well known multi-agent platforms (MAP), e. g., Java Agent DE-velopment Framework (JADE), are not able to deal with these challenges. To this aim, we present a cloud-native Multi-Agent Platform (cloneMAP) as a modern MAP based on cloud-computing techniques to enable scalability and fault-tolerance. A microservice architecture is used to implement it in a distributed way utilizing the open-source container orchestration system Kubernetes. Thereby, bottlenecks and single-points of failure are conceptually avoided. A comparison with JADE via relevant performance metrics indicates the massively improved scalability. Furthermore, the implementation of a large-scale use case verifies cloneMAP’s suitability for IoT applications. This leads to the conclusion that cloneMAP extends the range of possible MAS applications and enables the integration with IoT concepts.

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OWL2Go: Auto-generation of Go data models for OWL ontologies with integrated serialization and deserialization functionality

2020

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Swarm‐based automation of electrical power distribution and transmission system support

Cited by 5 publications

References 41 publications

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

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

Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

OWL2Go: Auto-generation of Go data models for OWL ontologies with integrated serialization and deserialization functionality

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