Optimization of maintenance for power system equipment using a predictive health model

Optimization of maintenance for power system equipment using a predictive health model

Bajracharya, G.
Koltunowicz, T.
Negenborn, R.R.
Papp, Z.
Djairam, D.
de Schutter, B.D.
Smit, J.J.
TNO Industrie en Techniek

2009

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. © 2009 IEEE.

Electronics
Maintenance optimization
Model-predictive optimization
Power system maintenance
Power transformer
Predictive health management

http://resolver.tudelft.nl/uuid:027d2f67-9796-4a60-8c3d-51aeecd26b6f

https://doi.org/10.1109/ptc.2009.5281928

281705

9781424422357

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future 28 June 2009 through 2 July 2009 Bucharest

5281928

conference paper