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    Energy-maximising moment-based constrained optimal control of ocean wave energy farms

    Faedo, Nicolás and Scarciotti, Giordano and Astolfi, Alessandro and Ringwood, John (2021) Energy-maximising moment-based constrained optimal control of ocean wave energy farms. IET Renewable Power Generation. ISSN 1752-1416

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    Successful commercialisation of wave energy technology inherently incorporates the concept of an array of wave energy converters (WECs). These devices, which constantly interact via hydrodynamic effects, require optimised control that can guarantee maximum energy extraction from incoming ocean waves while ensuring, at the same time, that any physical limitations associated with device and actuator systems are being consistently respected. This paper presents a moment-based energy-maximising optimal control framework for WECs arrays subject to state and input constraints. The authors develop a framework under which the objective function (and system variables) can be mapped to a finite-dimensional tractable quadratic program (QP), which can be efficiently solved using state-of-the-art solvers. Moreover, the authors show that this QP is always concave, i.e. existence and uniqueness of a globally optimal solution is guaranteed under this moment based framework. The performance of the proposed strategy is demonstrated through a case study, where (state and input constrained) energy-maximisation for a WEC farm composed of CorPower-like WEC devices is consider

    Item Type: Article
    Keywords: Energy-maximising; moment-based; constrained optimal control; ocean wave energy farms;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 16240
    Identification Number:
    Depositing User: Professor John Ringwood
    Date Deposited: 06 Jul 2022 08:31
    Journal or Publication Title: IET Renewable Power Generation
    Refereed: Yes
      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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