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Open access simulation toolbox for the grid connection of offshore wind farms using multi-terminal HVDC networks

Ugalde Loo, Carlos Ernesto, Adeuyi, Oluwole, Wang, Sheng, Liang, Jun, Jenkins, Nicholas, Ceballos, S., Santos, M., Vidaurrazaga, I., D'Arco, S., Bergna, G., Barenys, M., Parker, M., Finney, S., Gatti, A., Pitto, A., Rapizza, M., Cirio, D., Lund, P., Castro, A. and Azpiri, I. 2017. Open access simulation toolbox for the grid connection of offshore wind farms using multi-terminal HVDC networks. Presented at: 13th IET International Conference on AC and DC Power Transmission (ACDC 2017), Manchester, UK, 14-16 Feb 2017. AC and DC Power Transmission (ACDC 2017), 13th IET International Conference on. IEEE, pp. 54-59. 10.1049/cp.2017.0054

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Abstract

Decarbonisation of the European electricity system can become dauntingly costly due to transmission and distribution network issues arising from the integration of intermittent renewable generation sources. It is expected that wind energy will be the principal renewable source by 2050 and, as such, a number of initiatives in the academia and in the industry are being carried out to propose solutions to best accommodate the wind resource. This paper presents work carried out by DEMO 1 partners within the EU FP7 project BEST PATHS. A MATLAB/Simulink toolbox consisting of the necessary building blocks for the simulation and integration of offshore wind farms using enabling technologies such as multiterminal high-voltage direct-current grids is presented. To illustrate the toolbox capabilities, a number of system topologies is studied. System performance is assessed and measured against a set of key performance indicators. To ensure knowledge dissemination, the toolbox has been made available as open access in the BEST PATHS project website.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: IEEE
ISBN: 9781785614217
Funders: CEU
Date of First Compliant Deposit: 13 September 2017
Last Modified: 28 Mar 2019 22:23
URI: http://orca.cf.ac.uk/id/eprint/104587

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