Project

GridAnalysis

AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

  • Duration:

The goals of the GridAnalysis research project are the development of new models and methods for quasi-stationary and time-series-based simulation of power distribution grids in combination with classical grid calculation and machine learning methods. Furthermore, the partners will develop a guideline, which enables a (partly) automated operation of power distribution networks with the possibility of a topology change while ensuring a high supply quality and maintaining the selectivity of the network protection concept.

In cooperation with the project partners, the aim of this subproject is two-fold. (a) The conception and development of AI-based methods for the system analysis of power distribution networks in rural, suburban, and urban areas in normal and short-circuit operation. (b) The conception and development of an assistance system for non-linear systems, which supports a user in his decision-making. If required, the assistance system visualizes the results and evaluations determined by the AI-based network simulation in an understandable and comprehensible way to increase the user's acceptance in the AI-based system analysis.

Partners

HTW des Saarlandes (htw saar) Stadtwerke Saarlouis GmbH (Stadtwerke Saarlouis) VSE Verteilnetz GmbH (VSE Verteilnetz - Geschäftsführung - Saarbrücken)

Sponsors


03EI6034D

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Contact Person
Dr.-Ing. Jörg Baus
Dr.-Ing. Boris Brandherm

Keyfacts

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz