Energy System-Modeling, -Simulation,-Analysis and -Control
- Contact:
- Project Group: Simulation and Visualization, Advanced Control (AC)
- Funding:
HGF POF III
- Partner: Programm SCI:
Institute im KIT-DLCL Energie, SCC (LSDF, Hadoop, HC3), FM (Messnetz)
Drittmittelprojekte:
EnergyLab 2.0, ES-2050, Landesstiftung BW (Doktorand)
Industrie:
EnBW (TransnetBW, Netze-BW), SWKA
Description:
The goal is to develop methods, programs, and devices for the modeling, simulation, and analysis of power grids with a thematic focus on power grids.
Modeling of grids. Electrical transmission and distribution grids will first be modeled as a basis for all further work (simulation, analysis). This will involve generating models of isolated and industrial grids (e.g., KIT-CN), regional distribution grids (the city grids of Karlsruhe, Essen, Baden-Württemberg), as well as trans-regional transmission grids (across Germany, Europe).
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| Figure 1: Power grid in Germany. The figure shows EHV & HV overhead lines, underground cables, as well as HVDC lines (as of April 2016) |
Figure 2: Geographical distribution of wind turbines in Germany (for different associations) |
To model the generators, the BNA power plant list and the EE plant register (approx. 1.56 million plants) will be among the main resources used. Precise grid simulation will be made possible by the accurate geographical modeling of the infeed stations in combination with tables of the various population densities and power consumption on a regional or municipal level.
Simulation. For the grid simulation (e.g., load flow, compliance with resource limit parameters, malfunction analysis, n-1 safety), both open source and commercial software (GridLab-D, DigSILENT, NEPLAN, PSS/SINCAL) will be used and our own software systems will also be developed. As for the modeling (ePowMod) and web-based data management and visualization (ePowVis) of the simulation models, appropriate software modules for the eASiMOV toolbox will be developed (electrical grid analysis, simulation, modeling, optimization, and visualization).
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| Figure 3: eASiMOV model Karlsruhe (110 kV level) |
Figure 4: Time series-based load flow analysis using eASiMOV |
Measurement, data archiving, and analysis. Measurement devices (EDR: Electrical Data Recorder) were developed and tested on the KIT power grid to ensure their suitability for high-frequency, time-synchronous acquisition of time series in electrical power grids.