Experimental investigation of advanced turbine control strategies and load-mitigation measures with a model-scale floating offshore wind turbine system

Wang, Lu; Bergua, Roger; Robertson, Amy; Wright, Alan; Zalkind, Daniel; Fowler, Matthew; Lenfest, Eben; Viselli, Anthony; Goupee, Andrew; Kimball, Richard

doi:10.1016/j.apenergy.2023.122343

Cited by 13 publications

(2 citation statements)

References 18 publications

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“…Among these sources, wind turbines have attracted considerable attention over other renewable technologies because of their significant power generation potential [4][5]. Wind turbines can be categorized based on their operational speed into two types: fixed and variable speed [6][7]. Variable-speed wind turbines offer numerous advantages over their fixed-speed counterparts, including the ability to align the generator shaft speed with varying wind speeds.…”

Section: Introduction 1modified Quadratic Power Curvementioning

confidence: 99%

Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed

Pirouzi,

Naderi

2024

JGERI

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The utilization of renewables is developing rapidly due to environmental issues and a lack of fuel fossils. In this regard, wind turbines, as a type of renewable energy source, have been widely adopted in the power system thanks to their higher power generation capacity. Numerous methods have been introduced so far to control wind turbines, which are essential in generating wind energy. The sliding mode control, because of its unique features like being resistant to external disturbances, dynamics unmodeled and uncertainty, the relative simplicity of the control law, a relatively small amount of calculations, and straightforward implementation, is amongst the most preferred control designs in this realm. In this study, the control strategy is based on a combination of sliding mode and particle swarm optimization and is applied to a wind turbine with a grid-connected squirrel cage induction generator. The proposed method maximizes the power output of the wind turbine by limiting small changes in the electromagnetic torque. The main goal of the suggested design is to reduce the squared error of the electromagnetic torque, rotor speed, and stator current. The sliding mode control for the wind turbine helps obtain optimal values for the parameters of the design.

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Section: Introduction 1modified Quadratic Power Curvementioning

confidence: 99%

Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed

Pirouzi,

Naderi

2024

JGERI

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“…In order to analyze and compare between two or more systems simulations the integral of the Power Spectral Density (PSD) is used as a suitable metric for data analysis 32 . The PSD is firstly calculated from the RAO function and later integrated in a certain frequency interval.…”

Section: Introductionmentioning

confidence: 99%

Design and stability analysis of a new six-floater oscillating water column-based floating offshore wind turbine platform

Cayuela-Padilla,

M’zoughi,

Garrido

et al. 2024

Sci Rep

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The operational efficiency and lifespan of Floating Offshore Wind Turbines (FOWTs) are adversely impacted by the inherent platform motions and undesired vibrations induced by wind and wave loads. To effectively address these effects, the control of specific structural motions is of utmost importance, with platform pitch and yaw identified as the primary Degrees Of Freedom (DOF) that require attention. This study proposes a novel utilization of Oscillating Water Columns (OWCs) as a reliable and viable solution to mitigate platform pitch and yaw motions, thereby significantly enhancing the efficiency and reducing fatigue in wind turbines. This article aims to evaluate the impact resulting from integrating OWCs within each discrete floater of a Six-Floater platform. By considering different combinations of OWCs, a comprehensive analysis of the Response Amplitude Operators (RAOs) associated with pitch and yaw motions is presented. The primary objective is to identify the most efficient arrangements of OWCs and determine suitable combinations that effectively stabilize platform pitch and yaw motions. The empirical results substantiate that specific OWC configurations exhibit notable dampening effects on both pitch and yaw motions, particularly within specific wave frequency intervals. Consequently, it can be inferred that the integration and adequate operation of OWCs facilitate a substantial improvement in the stabilization of multi-floater platforms.

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Hybrid Energy Systems: Synergy Margin and Control Co‐Design

Garcia‐Sanz

2024

Adv Control Appl

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Extraordinary properties emerge from subsystems' interactions. Hybrid energy systems (HESs) are a promising concept that could change the renewable energy landscape. By co‐designing generation, storage, and conversion technologies, HESs can provide new electrical power services, increase grid stability and control authority, and generate energy and/or nonenergy products such as electricity, hydrogen, ammonia, heat, digital data, or fresh water. This article discusses some conditions the co‐design of HESs should follow to optimize the combined system (synergy), avoiding deterioration (dysfunction). It introduces some technoeconomic synergy conditions, develops a synergy margin, and analyses several case studies, exploring also the control co‐design methodology to optimize synergistically the hybrid system.

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Experimental investigation of advanced turbine control strategies and load-mitigation measures with a model-scale floating offshore wind turbine system

Cited by 13 publications

References 18 publications

Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed

Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed

Design and stability analysis of a new six-floater oscillating water column-based floating offshore wind turbine platform

Hybrid Energy Systems: Synergy Margin and Control Co‐Design

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