Buscar

Ampacity forecasting using neural networks


Abstract: Ampacity techniques have been used by Distributor System Operators (DSO) and Transport System Operators (TSO) in order to increase the static rate of transport and distribution infrastructures, especially those who are used for the grid integration of renewable energy. One of the main drawbacks of this technique is related with the fact that DSO and TSO need to do some planning tasks in advance. In order to perform a previous planning it is compulsory to forecast the weather conditions in the short-time. This paper analyses the application of the neural network to the estimation of the ampacity in order to increase the amount of power produced by wind farms that can be integrated into the grid.



Otras comunicaciones del congreso o articulos relacionados con autores/as de la Universidad de Cantabria

 Congreso: International Conference on Renewable Energies and Power Quality: ICREPQ (2014 : Cordoba)

Editorial: The European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)

 Fecha de publicación: 01/04/2014

Nº de páginas: 4

Tipo de publicación: Comunicación a Congreso

ISSN: 2172-038X

Proyecto español: IPT- 2011-1447-920000

Autores/as

ANTONIO GONZALEZ DIEGO
RODRIGO DOMINGO FERNANDEZ
ALBERTO SIERRA MOLLEDA