A state-space linear model for distribution grids (SSMD) #75
Description
Name
SSMD
Screenshots
Focus Topic
Generate the state-space matrices of electrical distribution grids and code to run time simulation of a distribution grid with the possibility to set up time resolution and duration
Primary Purpose
Generate the state-space A and B matrices of electrical distribution grids, including inverter, loads and lines components.
Description
Matlab code to generate the state-space A and B matrices of electrical distribution grids, including inverter, loads and lines components. The slack bus can be selected depending on the type of grid (conventional- or micro-grid). The matrices can also be used to run any time simulation, with user-defined inputs and disturbances and selecting simulation time stamp and duration.
Mathematical Description
No response
Website
https://www.fein-aachen.org/en/projects/ssmd/
Documentation
https://git.rwth-aachen.de/acs/public/simulation/ssmd/-/blob/master/README.md
Source
https://git.rwth-aachen.de/acs/public/simulation/ssmd
Year
2018
Institution
Institute for Automation of Complex Power Systems, EONERC
Funding Source
No response
Publications
1
Publication List
- A. Angioni, E. De Din, F. Ponci, A. Monti, “A state-space linear model for distribution grids” (under review)
Use Cases
No response
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
- Generate the state-space A and B matrices of electrical distribution grids, including inverter, loads and lines components. The slack bus can be selected depending on the type of grid (conventional- or micro-grid).
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?
Milliseconds
What is the typical temporal resolution supported by the tool?
None
What is the largest temporal scope supported by the tool?
Minutes
What is the typical temporal scope supported by the tool?
None
What is the highest spatial resolution supported by the tool?
Region
What is the typical spatial resolution supported by the tool?
None
What is the largest spatial scope supported by the tool?
Region
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
Andrea Angioni (aangioni@eonerc.rwth-aachen.de) Edoardo De Din (ededin@eonerc.rwth-aachen.de)
Interface, Integration, and Linkage
No response