Innovation area IV
Technical conditions for success and implementation
The sub-projects in innovation area IV deal with the modelling and technical evaluation of processes and tasks at different levels (building, grid, ...) and for different perspectives of a neighbourhood energy system that are relevant for the quantification of trust facets - especially in the context of safety-critical supply processes. The utilisation of the technical infrastructure, the availability and forecasting of local electricity and heat resources as well as individual flexibility and their interaction with other grid participants are information that plays a central role in the communication of decisions between actors in neighbourhoods.

Sub-project IV.1
Cooperative network management and system operation
The DLR_NESTEC emulation laboratory will be expanded in order to be able to experimentally evaluate cooperation models using the trust model under realistic conditions. The system is designed in such a way that other laboratories can connect and interact with this system via software. This enables the inclusion of detailed work on intelligent, controllable local grid transformers and prosumer behaviour, for example.
Researchers
Prof. Dr. Carsten Agert
DLR VE
Sub-project IV.2
User-integrated resilience in the low-voltage grid
The aim of the TUC-IEE is to develop new control algorithms for controllable local grid transformers and to evaluate them in the distribution grid laboratory, which take into account the significantly more extensive information spectrum of an integrated trust concept.
The aim is to identify suitable setpoints for the consumers that ensure the grid-friendly management of flexibility while simultaneously fulfilling the trust requirements within the integrated trust model.
Researchers
Prof. Dr. Ines Hauer
TU Clausthal
Sub-project IV.3
Human-technology interface to the prosumer
TUBS-elenia designs, develops and simulates innovative operating strategies for home energy management systems that go beyond classic self-consumption optimisation. These innovative operating strategies implement the new requirements of the trust model.
The visualisation of the operating strategies represents the interface between people and technology and allows the resident to influence the operating strategies.
Researchers
Prof. Dr.-Ing. Bernd Engel
TU Braunschweig
Sub-project IV.4
Resilience of decentralised prosumer systems
For fault analysis, self-learning systems are being developed that make it possible to identify faulty components using the data provided by smart metering systems. The aim is to analyse faults as accurately as possible using legally prescribed hardware (smart metering systems) in the household.
Preventive and curative measures will be derived from this and incorporated into the design of fallback strategies.
Research
Prof. Dr.-Ing. Bernd Engel
TU Braunschweig