Reference
G. Bajracharya, T. Koltunowicz,
R. R.
Negenborn, Z. Papp, D. Djairam, B. De Schutter, and
J. J. Smit, "Optimization of condition-based
asset management using a predictive health model,"
Proceedings
of the 16th International Symposium on High Voltage Engineering, Cape
Town, South Africa, pp. 1529-1534, Aug. 2009.
Abstract
In this paper, a model predictive framework is used to optimize the operation
and maintenance actions of power system equipment based on the predicted health
sate of this equipment. In particular, this framework is used to predict the
health state of transformers based on their usage. The health state of a
transformer is hereby given by the hot-spot temperature of the paper insulation
of the transformer and is predicted using the planned loading of the
transformer. The actual loading of the transformer is subsequently optimized
using these predictions.
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BibTeX
@inproceedings{BajKol:09-058,
author = {Bajracharya, Gautam and Koltunowicz, Tomasz and Negenborn, Rudi
R. and Papp, Zoltan and Djairam, Dhiradj and De Schutter, Bart
and Smit, Johan J.},
title = {Optimization of Condition-Based Asset Management Using a
Predictive Health Model},
booktitle = {Proceedings of the 16th International Symposium on High Voltage
Engineering},
address = {Cape Town, South Africa},
pages = {1529--1534},
month = aug,
year = {2009}
}