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Multi-carrier optimal power flow of energy hubs by means of ANFIS and SQP

Autor
Kampouropoulos, K.; Andrade, F.; Sala, E.; Garcia, A.; Romeral, L.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
42nd Annual Conference of the IEEE Industrial Electronics Society
Any de l'edició
2016
Data de presentació
2016-10-26
Llibre d'actes
Proceedings of the IECON2016: 42nd annual conference of the Industrial Electronics Society: Florence (Italy), October 24-27, 2016
Pàgina inicial
3990
Pàgina final
3995
DOI
https://doi.org/10.1109/IECON.2016.7793570 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7793570/ Obrir en finestra nova
Resum
Due to the climate change and the decrease in fossil fuel reserves, the industrial and tertiary sectors have been focused on the implementation of advanced energy management systems in order to improve their energy efficiency and reduce their overall emissions. One way to achieve that goal, which is also the focus of this work, is by optimizing the energy use in their operation processes. This paper presents a hybrid optimization method, combined by neuro-fuzzy inference systems and the quadrati...
Paraules clau
Power Systems, Adaptive Neuro-fuzzy Inference System, Energy Optimization, Multi-carrier Energy Systems, Energy Prediction, Sequential Quadratic Programming
Grup de recerca
MCIA - Centre MCIA Innovation Electronics
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants