Preprint Article Version 1 This version is not peer-reviewed

A Study about Performance and Robustness of Model Predictive Controllers in WECs Systems

Version 1 : Received: 27 September 2018 / Approved: 28 September 2018 / Online: 28 September 2018 (08:21:41 CEST)

A peer-reviewed article of this Preprint also exists.

Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies 2018, 11, 2857. Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies 2018, 11, 2857.

Journal reference: Energies 2018, 11, 2857
DOI: 10.3390/en11102857

Abstract

This work is located in a growing sector within the field of renewable energies, wave energy converters (WECs). Specifically, it focuses on one of the point absorbers wave (PAWs) of the hybrid platform W2POWER. With the aim of maximising the mechanical power extracted from the waves by these WECs and reduce their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to validate the MPCs, an exhaustive study on performance and robustness is realized through simulations carried out in which uncertainties in the WEC dynamics are considered. Furthermore, looking for realistic in these simulations, an identification methodology for PAWs is proposed and validated by means of real time series of a scale prototype.

Subject Areas

wave energy converter; model predictive control; comparitive of robustness; embedded integrator; mathematical model; identification methodology; real time series

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