Reference
G. Bajracharya, T. Koltunowicz,
R. R.
Negenborn, D. Djairam, B. De Schutter, and
J. J. Smit, "Optimization of asset management of
transformers based on a predictive health model of paper degradation,"
Proceedings of the 17th International Symposium on High Voltage
Engineering, Hannover, Germany, 6 pp., Aug. 2011. Paper G-002.
Abstract
In this paper, a model-based predictive framework is proposed to optimize the
operation and maintenance actions for power system equipment which operates in
a changing environment of the future grid. In this framework, a predictive
health model is proposed that predicts the health state of this equipment based
on its operation and maintenance actions. In particular, this framework is used
to predict the health state of transformers based on their usage and operating
environment. The hot-spot temperature of the transformer is predicted from the
expected loading of the transformer. Based on the hot-spot temperature
predictions, the allowed loading limits of the transformers are determined. In
the case of absence of the anticipated loading of the transformer, a maximum
allowable loading limit of the transformer is estimated.
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BibTeX
@inproceedings{BajKol:11-046,
author = {Bajracharya, Gautam and Koltunowicz, Tomasz and Negenborn, Rudi
R. and Djairam, Dhiradj and De Schutter, Bart and Smit, Johan
J.},
title = {Optimization of Asset Management of Transformers Based on a
Predictive Health Model of Paper Degradation},
booktitle = {Proceedings of the 17th International Symposium on High Voltage
Engineering},
address = {Hannover, Germany},
month = aug,
year = {2011},
note = {Paper G-002}
}