Optimization of maintenance for power system equipment using a predictive health model
conference paper
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.
Topics
TNO Identifier
281705
ISBN
9781424422357
Article nr.
5281928
Source title
2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future 28 June 2009 through 2 July 2009 Bucharest
Files
To receive the publication files, please send an e-mail request to TNO Repository.