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Title:Optimization of asset management of transformers based on predictive health model of paper degradation
Authors:G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, J.J. Smit

Conference:17th International Symposium on High Voltage Engineering (ISH 2011)
Address:Hannover, Germany
Date:August 2011

Abstract:In this paper, a model-based predictive framework is proposed to optimize the operation and maintenance actions of power system equipment. In the framework, a predictive health model is proposed which predicts the health state of this equipment based on its operation and maintenance actions. In particular, this framework is used to predict the health state of transformers based on their usage and operating environment. The hot-spot temperature of the paper insulation of the transformer is predicted from the expected loading of the transformer. Based on the hot-spot temperature predictions, the allowed loading limits of the transformers are determined. In the case of absence of the anticipated loading of the transformer, a maximum allowable loading limit of the transformer is estimated.

Reference:G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, J.J. Smit. Optimization of asset management of transformers based on predictive health model of paper degradation. In Proceedings of the 17th International Symposium on High Voltage Engineering (ISH 2011), Hannover, Germany, August 2011.
Download:Corresponding technical report


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