Wave farms grid code compliance in isolated small power systems

Isabel Villalba; Marcos Blanco; Juan I. Pérez-Díaz; Daniel Fernández; Felipe Díaz; Marcos Lafoz

Wave farms grid code compliance in isolated small power systems

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Author(s): Isabel Villalba¹ ; Marcos Blanco² ; Juan I. Pérez-Díaz³ ; Daniel Fernández³ ; Felipe Díaz¹ ; Marcos Lafoz²
- Affiliations: 1: University Institute for Intelligent Systems and Numerical Applications in Engineering, University of Las Palmas de Gran Canaria , Edificio Central del Parque Tecnológico, Campus de Tafira, 35017, Las Palmas de Gran Canaria , Spain ;
  2: Unit of Electric Power Systems, CIEMAT , Av. Complutense, 40, 28040 Madrid , Spain ;
  3: E.T.S.I.C.C.P. Universidad Politécnica de Madrid , Calle del Prof. Aranguren, 3, 28040 Madrid , Spain
Source: Volume 13, Issue 1, 07 January 2019, p. 171 – 179
DOI: 10.1049/iet-rpg.2018.5351 , Print ISSN 1752-1416, Online ISSN 1752-1424

Received 28/02/2018, Accepted 12/10/2018, Revised 30/07/2018, Published 18/10/2018

Wave energy is one of the electric generation options based on renewable energies, especially suitable for islands due to the energy resource availability and the higher energy cost of energy in its electric grids. The oscillating nature of the wave resource is prone to produce negative impacts in these electric grids when considering scenarios of high penetration of wave energy generation. This study analyses the impact of wave energy generation on the power system frequency for the particular case study of Tenerife Island (Spain). Then, hourly data related to sea states in Tenerife, during a whole year, will be provided to generate an electric power profile, based on a model of a wave energy farm with a specific wave converter type. A previously developed dynamic simulation model of the Tenerife transmission network will be fed with these power profiles and the hourly electric generation and consumption profiles to analyse the system frequency. A complete set of analysis during the whole year will be accomplished in order to determine the number of over-frequency events according to the grid codes. Finally, some corrective measures will be proposed as conclusions, e.g. energy storage devices, as the most reliable solution to mitigate frequency deviations.

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