发明名称 |
PROFILING TRANSFORMER OF POWER SYSTEM |
摘要 |
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. |
申请公布号 |
US2016005522(A1) |
申请公布日期 |
2016.01.07 |
申请号 |
US201314443816 |
申请日期 |
2013.11.19 |
申请人 |
DAGNINO Aldo;CHEIM Luiz;LIN Lan;PATEL Poorvi |
发明人 |
Dagnino Aldo;CHEIM Luiz;LIN Lan;PATEL Poorvi |
分类号 |
H01F27/12;G05B13/02 |
主分类号 |
H01F27/12 |
代理机构 |
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代理人 |
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主权项 |
1. A method for a power system, comprising:
predicting an oil temperature of a transformer of the power system for a desired load based upon a profile of the transformer developed via a machine-learning algorithm. |
地址 |
US |