Optimization of Maintenance for Power System Equipment Using a
Predictive Health Model
Reference
G. Bajracharya,
T. Koltunowicz,
R.R. Negenborn,
Z. Papp,
D. Djairam,
B. De Schutter, and
J.J. Smit,
"Optimization of Maintenance for Power System Equipment Using a
Predictive Health Model," Proceedings of the 2009
IEEE Bucharest Power Tech Conference, Bucharest, Romania,
June-July 2009. Paper 563.
Abstract
In this paper, a model-predictive control based framework is proposed
for modeling and optimization of the health state of power system
equipment. In the framework, a predictive health model is proposed
that predicts the health state of the equipment based on its usage and
maintenance actions. Based on the health state, the failure rate of
the equipment can be estimated. We propose to use this predictive
health model to predict the effects of different maintenance actions.
The effects of maintenance actions over a future time window are
evaluated by a cost function. The maintenance actions are optimized
using this cost function. The proposed framework is applied in the
optimization of the loading of transformers based on the thermal
degradation of the paper insulation.
Downloads
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Bibtex entry
@inproceedings{BajKol:09-022,
author={G. Bajracharya and T. Koltunowicz and R.R. Negenborn and Z. Papp and D.
Djairam and B. {D}e Schutter and J.J. Smit},
title={Optimization of Maintenance for Power System Equipment Using a Predictive
Health Model},
booktitle={Proceedings of the 2009 IEEE Bucharest Power Tech Conference},
address={Bucharest, Romania},
month=jun # {--} # jul,
year={2009},
note={Paper 563}
}
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