The Diagnostics and Analytics Centre (DAC) of the Slovenian power transmission operator (ELES) is a meeting point for mass data, advanced analytics, technical expertise and good engineering practices, which data engineers and scientists transform into modern management of ELES’ assets. DAC is collaborating with JSI in an effort to bring modern data analytics in optimization of maintenance costs of several transformer units that utilize on load tap changers (OTLP). These units units require regular maintenance after they perform a certain number of switching operations. To plan future maintenance, a prediction of the number of switching operations is required per unit on a short- medium, and long-term time horizon. Switching operation is influenced indirectly by many variables, some of which are not predictable themselves. Therefore JSI will develop a prediction model from the number of switching operations based on domain knowledge, statistics, and machine learning.

Besides developing a model, JSI will deploy software implementation of the model into operative use for DAC. The software will run in real time, poviding regular updates of its predictions based on current and predicted variables that govern the operation of the transformers in question.

Partners

Jozef Stefan Institute (JSI)

ELES Diagnostics and Analytics Centre (ELES DAC)

JSI Team

Funding