Profiling transformer of power system
US10002701B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2013 |
| Grant date | Jun 19, 2018 |
| Priority date | — |
| Expiry date | Oct 31, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH01F2027/406
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Method and system for predicting an oil temperature of a transformer for a desired load and/or predicting a load that a transformer can support for a desired time. A machine learning algorithm is developed using historical data of a transformer. After the algorithm is developed, historical data corresponding to the transformer are input into the algorithm to develop a profile of the transformer describing how the temperature of oil within the transformer is expected to change as a function of a desired load. Using the profile, the of temperature of the transformer is predicted for a desired load. In this way, a prediction is made as to whether and/or for how long a transformer may support a desired load before the oil temperature reaches a specified threshold and/or before the transformer fails due to the load.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.