发明名称 |
Condition-based management of power transformers |
摘要 |
Methods and arrangements for managing implementation of a power transformer. There is determined at least one parameter currently relating to operation of a transformer, as well as a revenue value currently assigned to the transformer. There is determined a depreciation value currently assigned to the transformer. There is determined a power output for the transformer for a future time slot that increases total revenue with respect to a life cycle of the transformer, the power output being determined based on the at least one parameter, the revenue value, and the depreciation value. |
申请公布号 |
US9312695(B2) |
申请公布日期 |
2016.04.12 |
申请号 |
US201313759544 |
申请日期 |
2013.02.05 |
申请人 |
International Business Machines Corporation |
发明人 |
Das Kaushik;Hazra Jagabondhu;Jespersen Nis;Narayanaswamy Balakrishnan;Seetharamakrishnan Devasenapathi Periagraharam |
分类号 |
G06F17/18;H02J3/00;G06Q10/00 |
主分类号 |
G06F17/18 |
代理机构 |
Ference & Associates LLC |
代理人 |
Ference & Associates LLC |
主权项 |
1. A method of managing implementation of a power transformer, said method comprising:
utilizing a processor to execute computer code configured to perform the steps of: determining at least one parameter currently relating to operation of a transformer; determining a revenue value currently assigned to the transformer; determining a depreciation value currently assigned to the transformer; and determining a power output for the transformer for a future time slot that increases total revenue with respect to a life cycle of the transformer; the power output being determined based on the at least one parameter, the revenue value, and the depreciation value; wherein said determining of a power output comprises solving an optimization problem to determine a power output designated for the transformer to carry in the future time slot; said solving comprising accepting as input: a predictive price distribution; a predictive demand distribution; and a predictive temperature distribution; the predictive price distribution being represented by a probability distribution function. |
地址 |
Armonk NY US |