Abstract
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.
| Original language | American English |
|---|---|
| Number of pages | 15 |
| State | Published - 2022 |
| Event | 41st International Conference on Ocean, Offshore, and Arctic Engineering - Hamburg, Germany Duration: 5 Jun 2022 → 10 Jun 2022 |
Conference
| Conference | 41st International Conference on Ocean, Offshore, and Arctic Engineering |
|---|---|
| City | Hamburg, Germany |
| Period | 5/06/22 → 10/06/22 |
Bibliographical note
See NREL/CP-5700-84627 for paper as published in proceedingsNREL Publication Number
- NREL/CP-5700-81943
Keywords
- model predictive control
- wave energy converter