High-performance simulation of nation-sized smart grids

Kuschel, Christian; Rüde, Ulrich

doi:10.1080/17445760.2016.1218876

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following [23], we choose to use an approach based on parallel computing to achieve a scalable simulation of the electrical grid and the agent‐based control. The simulation tool DistAIX [24] is the basis of the proposed assessment method for three reasons: First, it is shown in [3] that DistAIX exhibits outstanding scalability compared to other software tools for the simulation of cyber‐physical distribution grids.…”

Section: Related Workmentioning

confidence: 99%

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

Happ

Dähling

Monti

2020

IET cyber-phys. syst.

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

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

Happ

Dähling

Monti

2020

IET cyber-phys. syst.

View full text Add to dashboard Cite

show abstract

“…The memory can be spread over multiple computing nodes as each process has its own memory address space. By using distributed memory and computing architectures, the simulation of large, for example, nation-sized, energy systems is possible [10]. We propose and combine methods that address the arising challenges for distribution system simulation, such as distributed power-flow computation and message handling.…”

Section: Introductionmentioning

confidence: 99%

Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent‐Based Modeling and Simulation

et al. 2018

View full text Add to dashboard Cite

In future electrical distribution systems, component heterogeneity and their cyber-physical interactions through electrical lines and communication lead to emergent system behavior. As the distribution systems represent the largest part of an energy system with respect to the number of nodes and components, large-scale studies of their emergent behavior are vital for the development of decentralized control strategies. This paper presents and evaluates DistAIX, a novel agent-based modeling and simulation tool to conduct such studies. The major novelty is a parallelization of the entire model—including the power system, communication system, control, and all interactions—using processes instead of threads. Thereby, a distribution of the simulation to multiple computing nodes with a distributed memory architecture becomes possible. This makes DistAIX scalable and allows the inclusion of as many processing units in the simulation as desired. The scalability of DistAIX is demonstrated by simulations of large-scale scenarios. Additionally, the capability of observing emergent behavior is demonstrated for an exemplary distribution grid with a large number of interacting components.

show abstract

High-performance simulation of nation-sized smart grids

Cited by 2 publications

References 15 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 the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent‐Based Modeling and Simulation

Contact Info

Product

Resources

About