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L-Store

For a successful energy transition, it will become increasingly important to replace the existing generator-centered control concepts with storage-based ones. Predictive controls are suitable for meeting these challenges. These require models of system behavior in order to be able to make predictions at a suitable level of detail. Due to the complexity of the overall system, however, only decentralized control strategies are practically applicable. Therefore, the central problem to be solved is the creation of the models required for the decentralized control components, which describe both the dynamics of the decentralized subsystem and model the behavior of the rest of the energy grid.

The aim of the L-Store sub-project is to develop a hierarchical model-based control strategy for heterogeneous energy grids, based on a multilinear overall model, from which sub-models - and their complementary grid models - for decentralized controllers are generated efficiently and in a change-friendly manner. For this purpose, methods of tensor decomposition are adapted specifically for the separation of sub-models and their complement formation and corresponding algorithms are implemented and tested on examples.

Project Team:

Leandro Samaniego
Project Leader
Prof. Dr. Gerwald Lichtenberg
Duration
-
Budget
235.800 €
In cooperation with
Averdung Ingenieure und Berater
Funding
Federal Ministry of Education and Research
Unit
CC4E - Competence Center for Renewable Energies and Energy Efficiency

Contact

Prof. Dr. Gerwald Lichtenberg
Professor Physics & Control Systems
Department of Biomedical Engineering
T +49 40 428 75-6433
gerwald.lichtenberg (at) haw-hamburg (dot) de

In cooperation with

Logo-Averdung Ingenieure und Berater

Funding

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