Modeling and Control of AWS-Based Wave Energy Conversion System Integrated Into Power Grid

Wu, Feng; Zhang, Xiaoping; Ju, Ping; Sterling, M.J.H.

doi:10.1109/tpwrs.2008.922530

Cited by 131 publications

(18 citation statements)

References 15 publications

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“…Several PTO systems have been suggested in the literature [85], such as hydraulic systems [86], air turbines [87] or mechanical gear-boxes [88] coupled to a rotary electrical generator, and direct drive systems [89]. In the present paper, the PTO system is modelled via a linear model:…”

Section: A1 Viscous Forcementioning

confidence: 99%

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

et al. 2018

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Historical wave trends are studied via ECMWF's reanalyses over the 20th century. • ERA20 is calibrated via quantile-matching and validated against buoy measurements. • The wave energy resource increases over 40% off the west coast of Ireland. • A 30% surplus of AMPP is observed for different WECs due to resource variations. • Extreme events occurrence doubled, doubling the time WECs spend in survival mode.

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Section: A1 Viscous Forcementioning

confidence: 99%

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

et al. 2018

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“…Variable

ω_{e} false(t false)

is the electrical angular frequency, which is given by the following equation

ω_{e} false(t false) = \frac{2 π \dot{z} false(t false)}{p_{ω}},

where

p_{ω}

is the pole width of the PMLG. In this study, a surface‐mounted PMLG is used where the stator inductance quantities in the d ‐ and q ‐axes are almost identical, or

L_{normals d} ≃ L_{normals q}

[18].…”

Section: Model Statementmentioning

confidence: 99%

Maximising power conversion for heaving point absorbers using a reference‐based control technique

Wahyudie

Saeed

Jama

et al. 2016

IET Renewable Power Generation

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This study considers maximising conversion between the mechanical and electrical powers for heaving point absorbers (HPAs). The objective is implemented by generating the buoy's velocity reference by designing the intrinsic resistance. The authors designed the intrinsic resistance using a rapid procedure involving the mechanical and electrical models of HPAs. The electrical power conversion can be improved by tuning a weighting constant with the constraints on the maximum value of the control force and the power take‐off utilisation index. The value of the intrinsic resistance is varied based on irregular sea states, which are characterised by their significant heights and peak angular frequencies. A simple robust proportional‐integral‐derivative (PID) controller is utilised in the servo feedback control system to follow the velocity reference. The PID controller is designed using the complex polynomial stabilisation to convert the robust performance into a set of linear programming problems. A set of admissible PID controller is obtained to satisfy the robust performance specifications. The authors tested the proposed method in various nominal and perturbation scenarios, and its performance was compared with existing reference and non‐reference based HPA control strategies.

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“…1, the power converter is configured in back-to-back scheme, namely, the machine side converter (MSC) and the grid side converter (GSC). The MSC is responsible of controlling the PMLG and hence the oscillation of WEC's buoy, while the GSC regulates the power fed to the grid and maintains the voltage of the dc link to ensure proper operation of the converter [17]. Park transformation is utilized to transform three phase voltage and current quantities to the synchronous frame d-q components [18].…”

Section: Power Take-off Modelmentioning

confidence: 99%

“…Assuming the surface mounted PMLG is used, the d-axis and q-axis stator inductances are almost identical, that is, L sd ¼ L sq [17]. The parameter l PM is the permanent magnet flux.…”

Section: Power Take-off Modelmentioning

confidence: 99%

“…This is typically done by instantaneously modifying the PMLG stator current using the MSC of the full scale back-to-back converter. The i sd is controlled by regulating v sd , while v sq is responsible of controlling i sq [17]. Practically, setting i sd to zero is the simplest strategy and the one that results in minimizing machine copper losses [18].…”

Section: Pto Control Loopmentioning

confidence: 99%

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Enhancing the performance of heaving wave energy converters using model-free control approach

et al. 2015

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a b s t r a c tThis paper investigates the application of model free control (MFC) strategy to optimally control the oscillation of single body heaving waves energy converter (WEC). The aim of the proposed controller is to maximize the electrical energy output of the device. The MFC is an off-line fixed structure control approach that combines between simplicity and insensitivity to system uncertainties and/or operational conditions. The proposed controller is based on a classical linear compensator, which is designed and tuned using only the well-known dynamics of the WEC. Therefore, any extra unknown or partially known dynamics are taken care of using the ultra-local model (ULM). Simulation results show that the MFC performance is superior to that of the base linear compensator, in terms of reference tracking capability and robustness towards uncertainties. Also other well-established control strategies are used to further validate the proposed controller.

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Modeling and Control of AWS-Based Wave Energy Conversion System Integrated Into Power Grid

Cited by 131 publications

References 15 publications

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

Maximising power conversion for heaving point absorbers using a reference‐based control technique

Enhancing the performance of heaving wave energy converters using model-free control approach

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