Availability prediction of fast capacitor-based energy storage in energy supply systems by analysing monitoring data ("CapMon")
The ambitious goals of the energy transition are accompanied by considerable technical problems. The key issue is ensuring the stability of the electricity supply without conventional base load power plants. In future energy supply grids with an increasing proportion of renewable generators, virtual flywheel masses must be integrated into the grid in order to realise an instantaneous reserve for frequency stability.
The energy required for this can be stored in capacitor storage systems, for example, as these have fast temporal storage and release gradients and can therefore provide energy almost instantaneously.
As capacitor-based energy storage systems in the energy supply grid can consist of a complex interconnection of several hundred thousand capacitors, there is a high risk of failure. In order to reliably fulfil the task of providing the instantaneous reserve for grid stabilisation, the storage system must have a high level of availability. The "CapMon" project is therefore developing a diagnostic system for a capacitor storage system (SuperCap storage system).
In this diagnostic system, the ageing of the storage system is to be observed and predicted by evaluating and analysing the operating data. Furthermore, fault conditions are to be detected as quickly as possible and their impact on the system minimised by means of internal switching.
The aim of the project is to ensure high availability of the storage system. To this end, a prototype of the SuperCap memory is to be built in order to research, implement and verify methods for defect and ageing detection and the resulting service life prediction.
Prof. Dr.-Ing. Jörg Meyer
- Z 450B
- +49 351 462 2642
M.Sc. Anton Barwich
- A 204
- +49 351 462 4313
