Nonlinear model predictive control based on real-time iteration scheme for wave energy converters using WEC-SIM

One of several challenges that wave energy technologies face is their inability to generate electricity cost-competitively with other grid-scale energy generation sources. Several studies have identified two approaches to lower the levelised cost of electricity: reduce the cost over the device’s lif...

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Bibliographic Details
Main Authors: Guerrero-Fernandez, J.L., Tom, N.M., Rossiter, J.
Format: Report
Language:unknown
Published: American Society of Mechanical Engineers (ASME) 2022
Subjects:
Online Access:https://eprints.whiterose.ac.uk/185598/
Description
Summary:One of several challenges that wave energy technologies face is their inability to generate electricity cost-competitively with other grid-scale energy generation sources. Several studies have identified two approaches to lower the levelised cost of electricity: reduce the cost over the device’s lifetime or increase its overall electrical energy production. Several advanced control strategies have been developed to address the latter. However, only a few take into account the overall efficiency of the power take-off (PTO) system, and none of them solve the optimisation problem that arises at each sampling time on real-time. In this paper, a detailed Nonlinear model predictive control (NMPC) approach based on the real-time iteration (RTI) scheme is presented, and the controller performance is evaluated using a time-domain hydrodynamics model (WEC-Sim). The proposed control law incorporates the PTO system’s efficiency in a control law to maximise the energy extracted. The study also revealed that RTI-NMPC clearly outperforms a simple resistive controller.