TY - GEN
T1 - NONLINEAR MODEL PREDICTIVE CONTROL BASED on REAL-TIME ITERATION SCHEME for WAVE ENERGY CONVERTERS USING WEC-SIM
AU - Guerrero-Fernandez, Juan Luis
AU - Tom, Nathan Michael
AU - Rossiter, John Anthony
N1 - Publisher Copyright:
© 2022 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85140839835
U2 - 10.1115/OMAE2022-80972
DO - 10.1115/OMAE2022-80972
M3 - Contribución a la conferencia
AN - SCOPUS:85140839835
T3 - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
BT - Ocean Renewable Energy
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2022
Y2 - 5 June 2022 through 10 June 2022
ER -