Publication

Revenue Optimization for the Ocean Grazer Wave Energy Converter through Storage Utilization

Dijkstra, H. T., Barradas Berglind, J. J., Meijer, H., van Rooij, M., Prins, W. A., Vakis, A. I. & Jayawardhana, B. 2016 Proc. of 2nd International Conference on Renewable Energies Offshore - RENEW 2016. CRC Press, Taylor and Francis Group, p. 207-213 7 p.

Research output: Scientific - peer-reviewConference contribution

Documents

Increased penetration of renewable energy generation motivates a change of paradigm in the way power systems are structured and operated, as advocated by the smart grid concept. Accordingly, in this paper we investigate the lossless storage capabilities of the Ocean Grazer wave energy converter (WEC), which could facilitate the aforementioned paradigm shift. This specific WEC exhibits both adaptability with respect to the incoming waves and significant lossless storage capabilities. We propose a model predictive control (MPC) strategy based on a lumped dynamical model in order to mitigate power imbalances in the power grid and maximize the revenue of the WEC. Furthermore, we illustrate that the proposed strategy exploits the WEC energy storage capabilities and we show the economic benefits it brings. Lastly, the proposed strategy is compared with a heuristic approach and a setting without storage.
Original languageEnglish
Title of host publicationProc. of 2nd International Conference on Renewable Energies Offshore - RENEW 2016
PublisherCRC Press, Taylor and Francis Group
Pages207-213
Number of pages7
StatePublished - 2016
Event2nd International Conference on Renewable Energies Offshore 24 - 26 October 2016, Lisbon, Portugal - Lisbon, Portugal

Conference

Conference2nd International Conference on Renewable Energies Offshore 24 - 26 October 2016, Lisbon, Portugal
CountryPortugal
CityLisbon
Period24/10/201626/10/2016

Event

2nd International Conference on Renewable Energies Offshore 24 - 26 October 2016, Lisbon, Portugal

24/10/201626/10/2016

Lisbon, Portugal

Event: Conference

View graph of relations

Download statistics

No data available

ID: 34195118