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Scalable simulation of cyber-physical power distribution systems
Primary Purpose
DistAIX (Distributed Agent-based SImulation of CompleX Power Systems) is a simulator for cyber-physical power distribution systems that makes use of high performance computing techniques to scale up the simulation. An agent-based modeling and simulation approach is applied to model the behavior of the electrical system as well as distributed control and decision-making processes. Communication between participants of the system (agents) is also modeled and simulated.
Description
istAIX uses the framework RepastHPC as basis for scalable agent-based modeling and simulation based on the Message Passing Interface (MPI). It relies on Cassandra, PostgreSQL and Google Protocol Buffers for a scalable management of simulation results. An Integration with VILLASnode as gateway(s) to other applications is also available. Scenario files in Common Information Model format (CIM) can be converted into the scenario format of DistAIX using CIMverter.
Institute for Automation of Complex Power Systems, EONERC
Funding Source
No response
Publications
5
Publication List
1.S. Kolen, T. Isermann, S. Dähling and A. Monti, “Swarm behavior for distribution grid control,” 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Torino, 2017, pp. 1-6, DOI: 10.1109/ISGTEurope.2017.8260160
2.S. Kolen, S. Dähling, T. Isermann, and A. Monti, “Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent-Based Modeling and Simulation,” Complexity, vol. 2018, Article ID 3469325, 16 pages, 2018, DOI: 10.1155/2018/3469325
3.S. Dähling, S. Kolen, and A. Monti, “Swarm-based automation of electrical power distribution and transmission system support”, IET Cyber-Physical Systems: Theory and Applications, Volume: 3, Issue: 4, pp. 212-223, 2018, DOI: 10.1049/iet-cps.2018.5001
4. S. Happ, S. Dähling, and A. Monti, “Scalable assessment method for agent-based control in cyber-physical distribution grids”, IET Cyber-Physical Systems: Theory and Applications, Volume: 5, Issue: 3, pp. 283-291, 2020, DOI: 10.1049/iet-cps.2019.0096
5. S. Happ, “A scalable simulation method for cyber-physical power systems”, Dissertation, E.ON Energy Research Center Vol. 85, RWTH Aachen University, 2020, DOI: 10.18154/RWTH-2020-11644
Use Cases
Swarm behavior for distribution grid control
Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent-Based Modeling and Simulation
Infrastructure Sector
Atmospheric dispersion
Agriculture
Biomass
Buildings
Communications
Cooling
Ecosystems
Electric
District heating
Forestry
Health
Hydrogen
Individual heating
Land use
Liquid fuels
Natural Gas
Transportation
Water
Represented Behavior
Earth Systems
Employment
Built Infrastructure
Financial
Macro-economy
Micro-economy
Policy
Social
Modeling Paradigm
Analytics
Data
Discrete Simulation
Dynamic Simulation
Equilibrium
Engineering/Design
Optimization
Visualization
Capabilities
No response
Programming Language
C – ISO/IEC 9899
C++ (C plus plus) – ISO/IEC 14882
C# (C sharp) – ISO/IEC 23270
Delphi
GAMS (General Algebraic Modeling System)
Go
Haskell
Java
JavaScript(Scripting language)
Julia
Kotlin
LabVIEW
Lua
MATLAB
Modelica
Nim
Object Pascal
Octave
Pascal Script
Python
R
Rust
Simulink
Swift (Apple programming language)
WebAssembly
Zig
Required Dependencies
No response
What is the software tool's license?
None
Operating System Support
Windows
Mac OSX
Linux
iOS
Android
User Interface
Programmatic
Command line
Web based
Graphical user
Menu driven
Form based
Natural language
Parallel Computing Paradigm
Multi-threaded computing
Multi-core computing
Distributed computing
Cluster computing
Massively parallel computing
Grid computing
Reconfigurable computing with field-programmable gate arrays (FPGA)
General-purpose computing on graphics processing units
Application-specific integrated circuits
Vector processors
What is the highest temporal resolution supported by the tool?
Not Applicable
What is the typical temporal resolution supported by the tool?
None
What is the largest temporal scope supported by the tool?
Not Applicable
What is the typical temporal scope supported by the tool?
None
What is the highest spatial resolution supported by the tool?
Not Applicable
What is the typical spatial resolution supported by the tool?
None
What is the largest spatial scope supported by the tool?
Not Applicable
What is the typical spatial scope supported by the tool?
Name
DistAIX
Screenshots
Focus Topic
Scalable simulation of cyber-physical power distribution systems
Primary Purpose
DistAIX (Distributed Agent-based SImulation of CompleX Power Systems) is a simulator for cyber-physical power distribution systems that makes use of high performance computing techniques to scale up the simulation. An agent-based modeling and simulation approach is applied to model the behavior of the electrical system as well as distributed control and decision-making processes. Communication between participants of the system (agents) is also modeled and simulated.
Description
istAIX uses the framework RepastHPC as basis for scalable agent-based modeling and simulation based on the Message Passing Interface (MPI). It relies on Cassandra, PostgreSQL and Google Protocol Buffers for a scalable management of simulation results. An Integration with VILLASnode as gateway(s) to other applications is also available. Scenario files in Common Information Model format (CIM) can be converted into the scenario format of DistAIX using CIMverter.
Mathematical Description
No response
Website
https://www.fein-aachen.org/en/projects/distaix/
Documentation
https://git.rwth-aachen.de/acs/public/simulation/DistAIXFramework/distaixweb/-/blob/master/README.md
Source
https://git.rwth-aachen.de/acs/public/simulation/DistAIXFramework/distaixweb.git
Year
2022
Institution
Institute for Automation of Complex Power Systems, EONERC
Funding Source
No response
Publications
5
Publication List
1.S. Kolen, T. Isermann, S. Dähling and A. Monti, “Swarm behavior for distribution grid control,” 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Torino, 2017, pp. 1-6, DOI: 10.1109/ISGTEurope.2017.8260160
2.S. Kolen, S. Dähling, T. Isermann, and A. Monti, “Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent-Based Modeling and Simulation,” Complexity, vol. 2018, Article ID 3469325, 16 pages, 2018, DOI: 10.1155/2018/3469325
3.S. Dähling, S. Kolen, and A. Monti, “Swarm-based automation of electrical power distribution and transmission system support”, IET Cyber-Physical Systems: Theory and Applications, Volume: 3, Issue: 4, pp. 212-223, 2018, DOI: 10.1049/iet-cps.2018.5001
4. S. Happ, S. Dähling, and A. Monti, “Scalable assessment method for agent-based control in cyber-physical distribution grids”, IET Cyber-Physical Systems: Theory and Applications, Volume: 5, Issue: 3, pp. 283-291, 2020, DOI: 10.1049/iet-cps.2019.0096
5. S. Happ, “A scalable simulation method for cyber-physical power systems”, Dissertation, E.ON Energy Research Center Vol. 85, RWTH Aachen University, 2020, DOI: 10.18154/RWTH-2020-11644
Use Cases
Infrastructure Sector
Represented Behavior
Modeling Paradigm
Capabilities
No response
Programming Language
Required Dependencies
No response
What is the software tool's license?
None
Operating System Support
User Interface
Parallel Computing Paradigm
What is the highest temporal resolution supported by the tool?
Not Applicable
What is the typical temporal resolution supported by the tool?
None
What is the largest temporal scope supported by the tool?
Not Applicable
What is the typical temporal scope supported by the tool?
None
What is the highest spatial resolution supported by the tool?
Not Applicable
What is the typical spatial resolution supported by the tool?
None
What is the largest spatial scope supported by the tool?
Not Applicable
What is the typical spatial scope supported by the tool?
None
Input Data Format
CSV
Input Data Description
No response
Output Data Format
CSV
Output Data Description
No response
Contact Details
Sonja Happ sonja.happ@eonerc.rwth-aachen.de
Interface, Integration, and Linkage
No response
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