In this study, we address the issue of real-time energy-maximising control for wave energy converters (WECs), by proposing a receding-horizon optimal control framework based on the concept of a moment. This approach is achieved by extending the so-called moment-based framework, recently published in the WEC literature, to effectively solve the associated optimal control problem within a finite time-horizon, allowing for real-time performance, and a straightforward inclusion of the wave excitation force F-e estimation and forecasting requirements, which are intrinsic to the wave energy control application. We present a case study, based on a CorPower-like device, subject to both state and input constraints. We show that the proposed strategy can perform almost identically to the ideal performance case, where full knowledge of F-e over the time-horizon is assumed available. Moreover, a sensitivity analysis is provided, addressing the impact of wave excitation force estimation and forecasting errors in the computation of the moment-based control input. Two main conclusions can be drawn from this analysis: Forecasting mismatch has a negligible impact on the overall performance of the strategy, while potential differences arising from estimating F-e, in particular, phase errors, can substantially impact total energy absorption.
Receding-Horizon Energy-Maximising Optimal Control of Wave Energy Systems Based on Moments / Faedo, Nicolas; Pena-Sanchez, Yerai; Ringwood, John V.. - In: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY. - ISSN 1949-3029. - 12:1(2021), pp. 378-386. [10.1109/tste.2020.3000013]
Receding-Horizon Energy-Maximising Optimal Control of Wave Energy Systems Based on Moments
Faedo, Nicolas;
2021
Abstract
In this study, we address the issue of real-time energy-maximising control for wave energy converters (WECs), by proposing a receding-horizon optimal control framework based on the concept of a moment. This approach is achieved by extending the so-called moment-based framework, recently published in the WEC literature, to effectively solve the associated optimal control problem within a finite time-horizon, allowing for real-time performance, and a straightforward inclusion of the wave excitation force F-e estimation and forecasting requirements, which are intrinsic to the wave energy control application. We present a case study, based on a CorPower-like device, subject to both state and input constraints. We show that the proposed strategy can perform almost identically to the ideal performance case, where full knowledge of F-e over the time-horizon is assumed available. Moreover, a sensitivity analysis is provided, addressing the impact of wave excitation force estimation and forecasting errors in the computation of the moment-based control input. Two main conclusions can be drawn from this analysis: Forecasting mismatch has a negligible impact on the overall performance of the strategy, while potential differences arising from estimating F-e, in particular, phase errors, can substantially impact total energy absorption.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2988050