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Assessment of Electrical Power Generation of Wave Energy Converters With Wave-to-Wire Modeling.
- Source :
- IEEE Transactions on Sustainable Energy; Jul2022, Vol. 13 Issue 3, p1654-1665, 12p
- Publication Year :
- 2022
-
Abstract
- Direct-drive wave energy converter (WEC) and buoy control algorithms have shown great potential for renewable wave energy extraction in ideal conditions. However the actual power take-off (PTO) impacts are barely considered in the WEC design. This paper highlights the demands of designing the WEC wave-to-wire control from a global point of view by studying the actual PTO impacts. A permanent magnet linear electrical machine (LEM) PTO unit is simulated and controlled to fulfill the WEC buoy control requirements. Several state of the art control algorithms, which include singular-arc (SA) control, shape-based (SB) control, model predictive control (MPC), and proportional-derivative (PD) control, are applied to maximize the wave energy production (mechanical energy). Multiple types of electrical PTOs, including ideal PTO, unlimited PTO and limited PTO, are all implemented to evaluate WEC wave-to-wire performances. Further, the PTO copper loss model and the PTO actual efficiency maps are introduced and studied to improve the electrical PTO operation efficiency. To further assess the control schemes in various wave conditions, one-year PacWave ground-truth data is applied as well. Numerical simulations are conducted using MATLAB/Simulink and the Simscape toolbox. The electrical PTO unit is composed of a LEM, an ideal inverter, and an ideal energy storage system. The results show that the actual PTO will impact the constrained controls (MPC and SB) less comapring to unconstrained controls (SA and PD). Although SB can produce the maximum energy with the limited PTOs, it is not robust for all wave conditions. At the end of the paper, the possible solutions for improving the WEC wave-to-wire performances are also provided. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19493029
- Volume :
- 13
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Sustainable Energy
- Publication Type :
- Academic Journal
- Accession number :
- 157619000
- Full Text :
- https://doi.org/10.1109/TSTE.2022.3168040