Model predictive control of a wave energy converter

Andersen, Palle; Pedersen, T.; Nielsen, K. M.; Vidal, Enrique

doi:10.1109/cca.2015.7320829

Cited by 14 publications

(29 citation statements)

References 8 publications

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“…Recently, WPEA's based on the idea of Model Predictive Control (MPC) have attained increasing focus from the wave energy research community, see e.g., [4][5][6][7][8][9][10][11], and initial results are encouraging: MPC may lead to increased energy output of a WEC compared to e.g., reactive control WPEA. In the early work of [4,6,8], a linear MPC has been developed and simulated on ideal PTO systems harvesting energy of point absorber WEC's.…”

Section: Introductionmentioning

confidence: 99%

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Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

Hansen¹,

Asmussen

Bech³

2018

Energies

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Wave power extraction algorithms for wave energy converters are normally designed without taking system losses into account leading to suboptimal power extraction. In the current work, a model predictive power extraction algorithm is designed for a discretized power take of system. It is shown how the quantized nature of a discrete fluid power system may be included in a new model predictive control algorithm leading to a significant increase in the harvested power. A detailed investigation of the influence of the prediction horizon and the time step is reported. Furthermore, it is shown how the inclusion of a loss model may increase the energy output. Based on the presented results it is concluded that power extraction algorithms based on model predictive control principles are both feasible and favorable for use in a discrete fluid power power take-off system for point absorber wave energy converters.

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Section: Introductionmentioning

confidence: 99%

“…In addition, PTO losses are not considered. In [7] the PTO system model includes a friction term emulating the PTO energy losses-however, no actual PTO system configuration is discussed.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

Hansen¹,

Asmussen

Bech³

2018

Energies

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“…Although, since the last decade, more complex controllers like MPC (model predictive control) are being employed. The interest in implementing MPCs in WEC systems is motivated by the need to increase the productive/economic viability of these systems; due to the fact that these controllers allow them to minimize mechanical fatigue in their structures (limiting the operating ranges) and to focus the control strategy on the maximization of the extracted power directly.Actually, several authors have developed predictive controllers for WECs [7][8][9][10][11][12][13][14][15][16][17]. These MPCs can be grouped according to the characteristics of the cost function optimized.…”

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confidence: 99%

“…On one side, in [9][10][11]13,14], a reduced model was used for the design, which did not consider the dynamics of the radiation force. Meanwhile,in [7,8,12,13,[15][16][17], such dynamics were considered in the design model. Moreover, the previous works did not consider the dynamics of the power take-off system (PTO), neither in the evaluation, nor in the design of the MPCs.…”

mentioning

confidence: 99%

“…Finally, the treatment carried out in the case of non-feasibility when solving the cost functions with restrictions should be highlighted. In this aspect, the works in [9,10,13] considered a more complete approach by adding soft constrains in the case of non-feasibility.This paper analyses the main approaches of MPCs applied to PAW systems [8][9][10][11][12][13][14][15][16][17]. In addition, a new design is proposed: MPC based on a model with an embedded integrator for controllers that follow a setpoint for the speed of oscillation of the PAW.…”

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confidence: 99%

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A Study about Performance and Robustness of Model Predictive Controllers in a WEC System

2018

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This work is located in a growing sector within the field of renewable energies, wave energy converters (WECs). Specifically, it focuses on one of the point absorber waves (PAWs) of the hybrid platform W2POWER. With the aim of maximizing the mechanical power extracted from the waves by these WECs and reducing their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As a contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to analyze and compare the MPCs with conventional PI type control, an exhaustive study about performance and robustness is realized through the computer simulations carried out, in which uncertainties in the WEC dynamics and JONSWAP spectrum are considered. The results obtained show how the MPCs with embedded integrator improve power production of the WEC system studied in this work.

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Evaluation of the Double Snap-Through Mechanism on the Wave Energy Converter’s Performance

Liu

Levi

Estefen

et al. 2021

J. Marine. Sci. Appl.

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Lower efficiencies induce higher energy costs and pose a barrier to wave energy devices’ commercial applications. Therefore, the efficiency enhancement of wave energy converters has received much attention in recent decades. The reported research presents the double snap-through mechanism applied to a hemispheric point absorber type wave energy converter (WEC) to improve the energy absorption performance. The double snap-through mechanism comprises four oblique springs mounted in an X-configuration. This provides the WEC with different dynamic stability behaviors depending on the particular geometric and physical parameters employed. The efficiency of these different WEC behaviors (linear, bistable, and tristable) was initially evaluated under the action of regular waves. The results for bistable or tristable responses indicated significant improvements in the WEC’s energy capture efficiency. Furthermore, the WEC frequency bandwidth was shown to be significantly enlarged when the tristable mode was in operation. However, the corresponding tristable trajectory showed intra-well behavior in the middle potential well, which induced a more severe low-energy absorption when a small wave amplitude acted on the WEC compared to when the bistable WEC was employed. Nevertheless, positive effects were observed when appropriate initial conditions were imposed. The results also showed that for bistable or tristable responses, a suitable spring stiffness may cause the buoy to oscillate in high energy modes.

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Model predictive control of a wave energy converter

Cited by 14 publications

References 8 publications

Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

A Study about Performance and Robustness of Model Predictive Controllers in a WEC System

Evaluation of the Double Snap-Through Mechanism on the Wave Energy Converter’s Performance

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