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. ; Smit, J.J.
Author_Institution :
Electr. Eng., Math. & Comput. Sci., Dept., Delft Univ. of Technol., Delft, Netherlands
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.
Keywords :
failure analysis; maintenance engineering; optimisation; power transformer insulation; predictive control; cost function; failure analysis; model-predictive control; optimization; paper insulation; power system equipment maintenance; power transformers; predictive health model; Aging; Cost function; Investments; Marine technology; Power system management; Power system modeling; Power system reliability; Power transformer insulation; Predictive maintenance; Predictive models; Maintenance Optimization; Model-Predictive Optimization; Power System Maintenance; Power Transformer; Predictive Health Management;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5281928
