Print Email Facebook Twitter Optimization of maintenance for power system equipment using a predictive health model Title Optimization of maintenance for power system equipment using a predictive health model Author Bajracharya, G. Koltunowicz, T. Negenborn, R.R. Papp, Z. Djairam, D. de Schutter, B.D. Smit, J.J. TNO Industrie en Techniek Publication year 2009 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. © 2009 IEEE. Subject ElectronicsMaintenance optimizationModel-predictive optimizationPower system maintenancePower transformerPredictive health management To reference this document use: http://resolver.tudelft.nl/uuid:027d2f67-9796-4a60-8c3d-51aeecd26b6f DOI https://doi.org/10.1109/ptc.2009.5281928 TNO identifier 281705 ISBN 9781424422357 Source 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future 28 June 2009 through 2 July 2009 Bucharest Article number 5281928 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.