TenSyGrid project launched to model power grid stability
Image: TenSyGrid
The TenSyGrid project is focussed on the stability of power grids with high levels of decentralised intermittent renewable energies.
TenSyGrid (Tensors for System Analysis of Converter-dominated Power Grids), which is led by Fraunhofer IWES, is proposed to develop a toolbox for direct stability assessment using multilinear models to capture the complex dynamics of power grid components.
The objective is to support grid operators in assessing large power grids mainly powered by renewable energy, with a toolbox compatible with the existing commercial software packages to facilitate integration into standard workflows.
“The project will ensure that the modelling framework for very large power systems is scalable and easily updatable to reflect ongoing changes in the grid,” promises Dr Carlos Cateriano Yáñez, project coordinator at Fraunhofer IWES.
“Ultimately, TenSyGrid aims to develop tools that can be seamlessly integrated into existing commercial software. This will make the new methods accessible to operators without the need for significant changes to current systems.”
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The higher share of renewable energies in the distribution and transmission grids increases the requirements for grid integration.
Traditional approaches that use simplified power grid simulations cannot map the fast transient behaviour of power electronics used on large-scale renewable sources, leading to uncertainties regarding the resulting energy system dynamics of converter-dominated networks with low inertia.
Currently, only simulations can take all scenarios into account. However, the electromagnetic transient model simulations used for this purpose are computationally intensive and currently not practical for large-scale networks.
One approach to this being investigated by NESO in Britain is to introduce a neural networking methodology to the electromagnetic transient modelling.
The novel approach of the TenSyGrid project is to map the power grid as a multilinear model using tensors – a form of mathematical object that can be used to describe physical properties.
These models should be significantly less computationally intensive than classical models while also being highly interpretable, offering the possibility of enabling real-time stability assessment of power grids to an extent not previously possible.
Partners in the project include the Universitat Politècnica de Catalunya, eRoots Analytics, Hamburg University of Applied Sciences and the University of Malta with funding support from the EU Clean Energy Transition Partnership.
Originally published on enlit.world
