DISEGO
Critical components for distributed and secure network operation.
The project
The digitization of the electrical distribution network, for example using an Energy Internet of Things (eIoT) platform and the establishment of active grid management based on this platform through smart grid microservices, represents a necessary and feasible step.
The DISEGO project brings together an interdisciplinary consortium of research and industry partners. They are pooling their respective expertise to develop a sustainable technology and put it into practice.
Project duration: 11/2022 to 03/2026
Motivation
The electrification of the mobility and heating sectors and the sharp increase in EEG feed-in from photovoltaic systems pose a challenge for distribution network operators, as the electrical distribution networks are not designed for the expected load increases.
This is why intelligent grid automation is necessary to continue to ensure a high quality of supply in future scenarios, while minimizing grid expansion through optimal grid expansion strategies.
This requires grid status monitoring at the low and medium voltage levels, as well as the integration of controllable systems so that loads and feed-in can be used to benefit the grid when necessary.
Project goals / Technical solution approach
DISEGO combines solutions for research objectives 1 to 3 in an energy IoT (Internet of Things) platform and connects them to existing systems in the real grid.
- Minimally invasive grid state estimation
Based on dynamic energy data from the distribution network, a minimally invasive and robust network state estimation is to be provided. Above all, this should be able to indicate equipment overloads of the lines and the transformer as well as voltage band violations. - Traceable evaluation of recommendations for action
Based on the qualitatively labeled grid state estimation, traceable recommendations for action are to be created, which are visualized in a traceable manner for the system operator in the control room with regard to AI decision support. For this purpose, methods for the continuous improvement of system models of distributed energy systems are being developed. - Tamper-proof and wireless communication connection
Approaches for radio-based communication are being developed so that individual modules and energy systems can communicate based on a tamper-proof long-range radio protocol.
Highlights
Das Konsortium
The project involves a partnership between companies, research institutes, and utility operators:
- Helmut Schmidt University Hamburg
Chair for automation technology
Project coordination, validation - University of Duisburg-Essen
SOFTEC Institute
System model improvement - Hamburg University of Applied Sciences
Radio communication systems - Hamburg University of Technology, Institute of Electrical Power and Energy Technology (ieet)
State Estimation, laboratory tests PSI Software SE
Smart grid platform and grid apps
Transparent AI decision support and optimizationStadtwerke Norderstedt
Field test in the grid areaHamburger Energienetze GmbH
Field test on the innovation campus
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