WHITEPAPER: Dynamic Rating for Transformers using Analytics and Comprehensive MonitoringThis paper will discuss prevalent technologies for comprehensive monitoring of large power transformer (LPT) and the use of same to predict near future reliability and dynamic rating (capacity).
The solution requires, monitoring real time loading, direct winding temperature monitoring, moisture sensing and UHF partial discharge to ascertain actual health of transformer. Online multi-gas dissolved analysis is then used to corroborate findings from advance sensors. Customized analytics are then applied using artificial intelligence models and past trends of the specific transformer and similar transformer population elsewhere in various systems. The presentation will discuss actual transformer monitoring examples with the associated health indexes and dynamic rating.