A big challenge for German Grid Operators: Redispatch 2.0


German Grid Operators are currently facing major challenges meeting the requirements of the so called Redispatch 2.0. 

Redispatch is a measure activated by a transmission system operator by altering the generation or load pattern in order to change physical flows in the grid and relieve a physical congestion. In the past, only large power plants were integrated into that process. As part of the new regulation in the Redispatch 2.0 process, in the future also generators with a capacity of minimum 100 kW as well as smaller plants that can be remotely controlled by a grid operator will be included in the Redispatch.

Challenges for Grid Operators

For Germany’s 890 distribution grid operators, the implementation of these requirements is a major challenge as the network and forecast data required for data exchange are not yet available or only to a limited extent. However, all steps required for Redispatch 2.0 must be implemented by October 1, 2021 – the time pressure is rising.

Comprehensive data collection is required in order to forecast vertical loads per grid coupling point and to exchange information about available flexibility potential and feed-in to the superior grid operator. The implementation of new technologies and software solutions is a necessary step in order to be able to run the process fully automated, fast and with high reliability.

Our solution

envelios IGP (Intelligent Grid Platform) supports grid operators in this challenge and enables automated handling of the redispatch process. Different functionalities and processes are used for this including automated data import and creation of grid forecast models as well as algorithms for optimal congestion management.

Process flow:

Step 1: Merging the input data (optional)
Integration and merging data from different isolated systems (e.g. real-time snapshot of the grid, switching planning, redispatch requests, vertical load forecasts) to a comprehensive grid model – Alternatively, the input data can also be integrated as a complete CGMES model.

Step 2: Creation of network forecast models and bottleneck simulation
Power flow simulations for (n-0) and (n-1) cases to identify potential grid bottlenecks.

Step 3: Calculation of congestion management and redispatch dimensioning
Optimization of congestion management taking into account technical grid restrictions and the requirements of the superior and subordinate grid operators.

Step 4: Determine flexibility restrictions 
Determination of the flexibility restrictions for the next time steps in order to avoid internal bottlenecks in the distribution grid in case of future redispatch demands.

Step 5: Data processing and export interfaces
Preparation and export of the results for subsequent processes (e.g. balancing group management, operational requests).

Let us know what challenges you are facing currently. We would be pleased to advise you individually.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 867602.