About the project
Objective
The purpose of the project is to enable an end-user to make practical and useful conclusions about water content in a high-voltage transformers from indirect measurements provided by sensor data, including an understanding of the water content in the paper insulation and moisture in oil. To do so an advanced digital twin model will be developed that includes the simulation of non-uniform water distribution and allows for interpreting measurements from sensors. This will enable accurate life-cycle assessment.
Background
Electric insulation is an important part of stable and safe operation of high-voltage components and plays a key role in power delivery and meeting future rising electricity demand. One important component of this is the moisture dynamics in the transformer insulation. Moisture affects aging, reliability, and can lead to dielectric breakdown and subsequent component failure. Hence, it plays a crucial role in power generation and distribution. Insight into how water residual is distributed inside the transformer insulation is crucial for evaluating its safety, aging and overall reliability.
This project uses mathematical insight to build a digital twin that reliably and continually updates the moisture model based on real-time data. This will allow insight into information about various processes related to the moisture dynamics that are challenging to obtain otherwise and lays the foundation for real-time monitoring systems and accurate life-cycle assessment of key assets, which contributes to building a smart society.
Crossdisciplinary collaboration
The project is a collaboration between KTH, Hitachi and Imperial College.
Principal Investigators (PIs)
- Jennifer K. Ryan, KTH
- Tor Laneryd, Hitachi Energy
- Kateryna Morozovska, Imperial College London
