Optimization of Transformer Loading Based on Hot-Spot Temperature
Using a Predictive Health Model
Reference
G. Bajracharya,
T. Koltunowicz,
R.R. Negenborn,
D. Djairam,
B. De Schutter, and
J.J. Smit,
"Optimization of Transformer Loading Based on Hot-Spot Temperature
Using a Predictive Health Model," Proceedings of the
2010 International Conference on Condition Monitoring and Diagnosis
(CMD 2010), Tokyo, Japan, pp. 914-917, Sept. 2010.
Abstract
In the future grid, power equipment will need to work with distributed
generation, deregulation, and accelerated aging. To this end, a
model-based framework for the optimization of usage of power equipment
is proposed. The framework uses a predictive health model of the
equipment in order to optimize the usage of the equipment. In
particular, the predictive health model predicts the hot-spot
temperature of the transformers in a network over a future time window
based on the expected loading. The allowed loading limits of the
transformers are based on the hot-spot temperature. Therefore, the
optimal loading of the transformers is maintained by performing an
optimal power flow (OPF) computation of the network that takes into
account hot-spot temperature dynamics. The optimization determines
values for the tap position of the transformers and the active and
reactive power of generators in the network. Moreover, shedding of the
loads in the network is considered when the aforementioned options are
not sufficient to control the loading of the transformers. A case
study using the IEEE 14-bus benchmark system is presented. The
shedding of the loads is minimized by using this technique.
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Bibtex entry
@inproceedings{BajKol:10-037,
author={G. Bajracharya and T. Koltunowicz and R.R. Negenborn and D. Djairam and
B. {D}e Schutter and J.J. Smit},
title={Optimization of Transformer Loading Based on Hot-Spot Temperature Using a
Predictive Health Model},
booktitle={Proceedings of the 2010 International Conference on Condition
Monitoring and Diagnosis (CMD 2010)},
address={Tokyo, Japan},
pages={914--917},
month=sep,
year={2010}
}
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