Work Packages

Desk research will be used to develop concepts for the further development of results from internal consortium projects and to prepare data and information on low-voltage grids and climate in accordance with FAIR principles. A joint detailed definition of scenarios taking into account the effects of climate change on the energy infrastructure will serve to map the developments to be expected in the future and to be able to train and test the developments of WP3 and WP4 for a wide range of (rare) events. Finally, a catalog of requirements must be drawn up within this framework. This involves determining which data and to what level of detail is required to analyze the effects of climate change on the low-voltage level. To develop fault and threat scenarios, the principle of Systems Theoretic Process Analysis (STPA) is used to analyze critical control measures and their causes. The existing expert knowledge is used for this purpose

Task 2.1 Definition of scenarios and requirements (AIT)

Task 2.2 Creation of scenarios (TUW)

Task 2.3 Scenario implementation in BIFROST (SIE)

Task 2.4 Development of error and threat scenarios (AIT)

The aim of the work package is to develop a data and communication concept for efficient and secure communication between sensors and data evaluation (WP4) as well as for error detection.

State-of-the-art methods from other projects are first analyzed in detail. The identified approaches are then validated based on the scenarios and framework conditions from WP2 and the specific requirements (e.g. for the algorithms developed in WP4) and adapted accordingly. Among other things, the characteristics of various protocols and access networks are compared with the defined requirements.

Additional requirements result from the detailed analysis of cyber attacks and their effects. The threat scenarios developed in WP2 are further detailed in order to identify specific characteristics for the detection of events. Deep learning approaches are used to detect faulty data and cyber attacks using the identified features. Reasoning with evidence-based networks will then be used to determine the cause (error or cyber attack).

Task 3.1 Data and communication concept (AIT)

Task 3.2 Anomaly detection and root cause analysis (AIT)

This work package involves the development of algorithms to determine the optimal placement and dimensioning of the measurement infrastructure and capacity management. The methods are being developed in parallel in order to actively take into account the dependencies and resulting requirements of the algorithms in relation to each other during development. The quality of capacity management (including integrated state estimation) is a key evaluation criterion for sensor placement. Within the tasks, reference algorithms are developed, which in combination represent a reference solution. As part of the work package, new AI-based methods will be developed, which will be tested and developed in combination as part of the development process. Subsequently, the algorithms will be evaluated in the scenarios and against the reference solution as part of work package 5.

Task 4.1 Methods for optimal placement and dimensioning of the measurement infrastructure (SIE)

Task 4.2 Development of capacity management (AIT)

This work package monitors and evaluates the economic viability of the developments, compliance with the technical framework conditions and the usability of the results. The research, development and validation activities are carried out in a continuous and iterative process (together with WP3 and WP4), primarily to ensure that test results (simulation) and collected findings are incorporated into the further development of the algorithms and technologies, thus achieving the best possible and most risk-minimized solution for later exploitation.

Methodologically, the validation of the implemented algorithms is realized using the BIFROST simulation environment. The defined scenarios and KPIs from WP2 serve as a reference for this. The models are validated with regard to accuracy, transferability and general use, real-time capability, etc.

Task 5.1 Technical validation (TUW)

Task 5.2 Economic validation (MME)

Task 5.3 Exploitation strategy (SIE)