Future-proof congestion management in the transmission grid
The aim of the project is to make better use of the existing transmission capacities and so reduce the need to expand the transmission grid. The engineers want to achieve this using new algorithms and so-called agent-based methods for monitoring the network. In a two-stage process, they first of all want to support the manual network operational management before subsequently developing mechanisms for fully automated congestion management. Here the focus will be on existing protocols and standards in order to facilitate the efficient transfer into practice.
As a result of the energy transition, but also with the advent of a liberalised electricity market, there is a significant increase in the need to transport electrical energy. The transmission grid in its current design is to some extent reaching its limits. In addition, an increasing number of decentralised energy generators are feeding electricity into the grid, which is considerably hampering the control and regular operation.
With the newly developed algorithms and methods, the project partners want to make better use of the existing grid capacity and thus keep the network expansion to a minimum. They are particularly focussing on a standards-compliant implementation so that they can create practice-oriented solutions.
At the beginning of the project, the scientists will merge grid models of distribution and transmission grids into a consistent overall model and build the test environment with which they want to evaluate the results in one of the following steps. They will then design the modular software system architecture for the agent-based control system. The researchers then want to develop different software modules and integrate them into the test environment. This should make it possible to monitor, identify and rectify grid bottlenecks. Parallel to this, they will develop formal models for evaluating bottlenecks and, based on them, flexibility measures and measures for evaluating them. These models can then be incorporated in the test environment.
The integration of the congestion management is planned in two stages and is initially aimed at supporting the manual control using a module developed for this purpose. In conclusion the project partners will then develop and integrate a further module for the automated control. An important aspect is that existing standards and protocols will be taken into account in each development step and with every model.
09/2014 - 08/2017
44227 Dortmund, Germany