Energy capture optimization of heave oscillating buoy wave energy converter based on model predictive control

Liang, Haizhi; Qiao, Dongsheng; Wang, Xianzhi; Zhi, Guangning; Yan, Jun; Ning, Dezhi; Jin-ping, OU

doi:10.1016/j.oceaneng.2022.113402

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…Rather, these results serve the purpose of estimating the maximum potential performance levels achievable regardless of the control method implemented. However, the results presented here are in line with those found in [19], which compared an efficient MPC implementation to linear resistive damping control. In that work, the authors found that MPC achieved 40-60% greater average power capture than linear resistive damping.…”

Section: Discussionsupporting

confidence: 89%

“…For example, in the context of a constant-pressure-type PTO with a WEC-driven pump having a variable displacement, these constraints translate to (1) the maximum displacement, (2) the minimum displacement, and (3) the speed that the pump can adjust the displacement. While constraints on the PTO load are not new (e.g., limits on the magnitude and the rate of change in the load are considered in [18,19]), the constraints are assumed to be predetermined and are not studied for their effect beyond the effect of their inclusion. Instead, this work seeks to characterize how varying these constraints (i.e., their values) affects WEC performance.…”

Section: Introductionmentioning

confidence: 99%

“…The implementation of MPC in wave energy conversion studies has typically framed the optimization as a quadratic programming problem, which requires discretized, linear system models [13,18,19,26,27]. In these cases, computational efficiency becomes a major concern for real-time control and is often traded off with performance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control

Simmons

Ven

2023

Energies

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Previous work comparing power take-off (PTO) architectures for ocean wave-powered reverse osmosis suggests that variable displacement in the wave energy converter (WEC)-driven pump does not offer a significant performance advantage. A limitation of that study is that the WEC was subject to a constant load within a given sea state (“Coulomb damping”) and did not account for controlled, moment-to-moment variation of the PTO load enabled by a variable displacement pump. This study explores the potential performance advantage of a variable PTO load over Coulomb damping. Model predictive control is used to provide optimal load control with constraints on the PTO load. The constraints include minimum and maximum loads and a limit on the rate of load adjustment. Parameter studies on these constraints enable conclusions about PTO design requirements in addition to providing an estimated performance advantage over Coulomb damping. Numerical simulation of the Oyster 1 WEC is carried out with performance weighted by historical sea state data from Humboldt Bay, CA. The results show a performance advantage of up to 20% higher yearly-average power absorption over Coulomb damping. Additionally, the parameter studies suggest that the PTO load should be adjustable down to at least 25% of the maximum load and should be adjustable between the minimum and maximum loads within a few seconds.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control

Simmons

Ven

2023

Energies

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“…MATLAB will call various functions to process the accepted data as required, and finally output the processing results to LabVIEW. The display control of LabVIEW is displayed on the front panel [10] . Through the front panel of the upper computer, the position of the ship in the process of pitching and rolling at sea, the control power of the ship in the process of pitching and rolling, the control torque of the ship in the process of rolling and rolling, and the Marine disturbance the ship is subjected to at sea can be learned.…”

Section: Dynamic Positioning Monitoring Interface Constructionmentioning

confidence: 99%

Research on dynamic positioning PID controller of rake suction dredger based on improved particle swarm optimization algorithm

jiao,

yu meng hong,

hou meng

2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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“…As the aspect ratio increases, the hydrodynamic parameters of the turbine become more uniform along the entire span, and with higher flow coefficients, the four designs exhibit similar performances and approach two-dimensional calculations [34]. Current turbines are usually installed over water streams and are exposed to various waves; different investigations have studied the performance of a floating structure [35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Computational Fluid Dynamic Study of Water Flow and Submerged Depth Effects on a Tidal Turbine Performance

Ghamati

Kariman

Hoseinzadeh

2023

Water

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This study involves an experimental and numerical analysis of the Hunter turbine, a vertical axis turbine utilized for tidal energy. A laboratory model of the Hunter turbine, featuring an aspect ratio of 1.2, was designed and tested. Numerical equations, including the Reynolds-averaged Navier–Stokes (RANS) constant, were analyzed through computational fluid dynamics (CFD) software using the k-ω turbulence model to forecast turbine performance and other related flow specifications, such as pressure lines, stream velocity, and pressure. This simulation was conducted on the surface of the turbine blade, and the results were obtained accordingly. The experimental data were utilized to verify the numerical results, and the difference between the two was reasonably acceptable. The turbine was studied in six different flow coefficients and four different vertical positions. The results indicated that the power coefficient increased as the submerged depth from a water-free surface increased, and after a specific depth, the output power remained constant. It was also observed that the minimum depth from a water-free surface for maximum power coefficient was three times the diameter of the turbine drum (3D).

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Energy capture optimization of heave oscillating buoy wave energy converter based on model predictive control

Cited by 10 publications

References 10 publications

Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control

Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control

Research on dynamic positioning PID controller of rake suction dredger based on improved particle swarm optimization algorithm

Experimental and Computational Fluid Dynamic Study of Water Flow and Submerged Depth Effects on a Tidal Turbine Performance

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