Faedo, Nicolás, Scarciotti, Giordano, Astolfi, Alessandro and Ringwood, John (2019) Moment-based constrained optimal control of an array of wave energy converters. In: 2019 American Control Conference (ACC). IEEE, pp. 4797-4802. ISBN 9781538679265
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Abstract
The roadmap to a successful commercialisation of
wave energy inherently incorporates the concept of an array
or farm of Wave Energy Converters (WECs). These interacting
hydrodynamic structures require an optimised process that can
ensure the maximum extraction of time-averaged energy from
ocean waves, while respecting the physical limitations of each
device and actuator characteristics. Recently, a novel optimal
control framework based on the concept of moment, for a
single WEC device, has been introduced in [1]. Such a strategy
offers an energy-maximising computationally efficient solution
that can systematically incorporate state and input constraints.
This paper presents the mathematical extension of the optimal
control framework of [1] to the case where an array of WECs
is considered, providing an efficient solution that exploits the
hydrodynamic interaction between devices to maximise the total
absorbed energy.
Item Type: | Book Section |
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Additional Information: | Funding: This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886 and to the Royal Society International Exchange Cost Share programme (IEC\R1\180018). This work has been partially supported by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 739551 (KIOS CoE). . Cite as: N. Faedo, G. Scarciotti, A. Astolfi and J. V. Ringwood, "Moment-based constrained optimal control of an array of wave energy converters," 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 4797-4802, doi: 10.23919/ACC.2019.8814929. |
Keywords: | Moment-based; constrained; optimal control; array; wave energy; converters; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14281 |
Identification Number: | 10.23919/ACC.2019.8814929 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 30 Mar 2021 14:16 |
Publisher: | IEEE |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI), European Union’s Horizon 2020 research and innovation programme |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14281 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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