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    Moment-based constrained optimal control of an array of wave energy converters


    Faedo, Nicolás and Scarciotti, Giordano and 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
    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: https://doi.org/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
    URI:

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