Description:

The aim of the work is to develop methods, programs, and devices for modeling, simulation and analysis of energy networks mainly focusing on electricity networks.

Network Modeling: Electrical transmission and distribution networks are modelled as a basis for all further work (Simulation, Analysis). In this regard, models of island and industrial networks (e.g. KIT-CN), regional distribution networks (Karlsruhe city network, Essen, Baden-Württemberg), as well as regional transmission networks (interconnected network of Germany, Europe) are developed.

Fig.1: Germany Electricity Network. Illustrated are the EHV and HV overhead lines and underground cables, as well as HVDC lines (State: April 2016).	Fig.2: Geographical distribution of wind turbines in Germany, illustrated for association of municipalities.

In order to model the generators, the BNA power plant list and the EEG-plant register (with approximately 1.56 million single units), among others, are used. The Geographically accurate modeling of feed-in stations, in combination with population distribution tables and power consumption at county or community level, is useful for network simulation.

Simulation: For network simulation (e.g. load flow, compliance with operation resource-limit parameters, incident analysis, n-1 security), open source and commercial programs (GridLab-D, DIgSILENT, NEPLAN, PSS / SINCAL) are used, and in-house software systems are developed. Modeling (ePowMod) and web-based data management and visualization (ePowVis) of the simulation models are realized in the software modules of the eASiMOV Toolbox (electrical grid Analysis, Simulation, Modeling, Optimization and Visualization).

Fig.3: eASiMOV-Model Karlsruhe (110 kV Ebene)	Fig.4: Time series-based Load flow analysis with eASiMOV

Measurement, data archiving and analysis:

For high-frequency and time-synchronous acquisition of time series data in the electrical distribution network, measurement instruments (EDR: Electrical Data Recorder) were developed, tested and operated in the KIT network.

Projects:

• Energy Lab 2.0
• Energy System 2050 (ES-2050)