Searched for: department:"Electrical%5C%2BSustainable%5C%2BEnergy"
(1 - 3 of 3)
document
Mehairjan, R.P.Y. (author), Zhuang, Q. (author), Djairam, D. (author), Smit, J.J. (author)
The electrical power sector is stimulated to evolve under the pressures of the energy transition, the deregulation of electricity markets and the introduction of intelligent grids. In general, engineers believe that technologies such as monitoring, control and diagnostic devices, can realize this evolvement smoothly. Unfortunately, the...
conference paper 2014
document
Bajracharya, G. (author), Koltunowicz, T. (author), Negenborn, R.R. (author), Papp, Z. (author), Djairam, D. (author), De Schutter, B. (author), Smit, J.J. (author)
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...
report 2009
document
Bajracharya, G. (author), Koltunowicz, T. (author), Negenborn, R.R. (author), Papp, Z. (author), Djairam, D. (author), De Schutter, B. (author), Smit, J.J. (author)
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...
conference paper 2009