Digitalization of transformer substation using QMU and AI-based analytics for fault forecasting

Important results from the project

The project met the objectives set from the start. The planned hardware and software installation was completed, and the system is now in operation with functioning analysis capabilities that will continue beyond the project’s end. The project also generated valuable insights into real-world installation, collaboration with grid operators, and technical and organizational requirements, strengthening the conditions for future large-scale deployment.

Expected long term effects

The results are expected to have long-term impact by enabling broader and more scalable implementation of digitalized substations. The project has increased understanding of large-scale rollout, efficient installation, optimized supply chains, and collaboration. This contributes to a more robust power grid, efficient energy distribution, and strengthened organizational capacity for sustainable growth.

Approach and implementation

The project was carried out with clear phases for planning, installation, and follow-up. The activities were relevant, and the project developed as intended. The schedule was slightly affected by practical challenges, but the installation was completed successfully, and collaboration among project partners worked well. Unexpected lessons strengthened the capacity for future installations and efficient large-scale rollout.