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Project | GridAnalysis

Duration:
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

Application fields

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

Publications

All publications
  1. Multimodal Interactive System for Visualization of Energy Data in Extended Reality (XR) Settings

    Margarita Chikobava; Anton Moisieiev; Peter Poller; Matthieu Deru; Alassane Ndiaye; Albert Klimenko; Christian Braun; Jörg Baus; Boris Brandherm

    In: Constantine Stephanidis; Margherita Antona; Stavroula Ntoa; Gavriel Salvendy (Hrsg.). HCI International 2023 Posters. Human Computer Interaction International Conferences (HCII-2023), Pages 163-168, Vol. 1836, ISBN 978-3-031-36004-6, Springer Nature Switzerland, Cham, 2023.

Funding Authorities

BMWi - Federal Ministry for Economic Affairs and Energy

03EI6034D

BMWi - Federal Ministry for Economic Affairs and Energy