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| Funder | Swedish Energy Agency |
|---|---|
| Recipient Organization | Kth, Royal Institute of Technology |
| Country | Sweden |
| Start Date | Dec 01, 2022 |
| End Date | Nov 30, 2027 |
| Duration | 1,825 days |
| Data Source | Swedish Research Council |
| Grant ID | P2022-00177_Energi |
The emerging electric power system with high penetration of renewable power production is less predictable and has exhibits different physical characteristics.
This means that the work for control room operators who monitor and ensure system stability is changing from passive monitoring to more active and intensive cognitive work.
This in turn calls for the need to create support systems and work practices that can handle good adaptability relative to the increasingly dynamic processes.
During active monitoring, the operator may be required to make quick decisions in a short time within minutes or seconds.
This in turn requires a good situational awareness of the electric power system and surrounding factors, e.g. weather conditions.
This interdisciplinary project aims to develop knowledge and expertise in electric power systems, human-machine interaction and knowledge of human situation perception and decision-making in order to ensure a stable and sustainable electric power systems.
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