Optimization of condition-based asset management using a predictive health model

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. If you want to cite this report, please use the following reference instead: G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, J. J. Smit. Optimization of condition-based asset management using a predictive health model. In Proceedings of the 16th International Symposium on High Voltage Engineering (ISH 2009), Cape Town, South Africa, August 2009.Electrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc