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.