CIM-conversion tools from Fraunhofer IEE

Open source, easy to use and adaptable

Standard data models are becoming increasingly important for power grid operators - however, such data models are designed for “machine-to-machine” exchange and are hardly understandable for human use. The Python library “pandapower” is an easy-to-use open source tool for modeling, analyzing and optimizing future energy systems with a high level of automation.

At the end of 2022, scientists at Fraunhofer IEE published an open-source, easy-to-use and adaptable translator for data between the standard data model “CIM CGMES” and “pandapower” - “cim2pp”.

In this session we provide both a theoretical overview as well as practical examples and demonstrations of “cim2pp”. In addition to pure data translation, we show how to use the downstream pandapower libraries to analyze grid data and data errors.

The workshop is aimed at everyone who is involved with standard data models in the process of grid digitization, wants to better understand CIM and pandapower and wants to get to know the “cim2pp” converter. The target groups of the workshop are employees of:

•  Distribution system operators
• Transmission system operators
• Software developers
• Research institutes
• Universities

Workshop participants receive an introduction to the CIM data model, CIM profiles (CGMES, CDPSM), and the basics of translating CGMES to pandapower. In practical examples we show how to use “cim2pp” yourself, for example in order to visualize data in pandapower or to understand data errors.