Lidar-enhanced wind turbine control: Past, present, and future

Scholbrock, Andrew; Fleming, Paul; Schlipf, David; Wright, Alan; Johnson, Kathryn; Wang, Na

doi:10.1109/acc.2016.7525113

Cited by 64 publications

(54 citation statements)

References 34 publications

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“…In addition, numerical simulations indicated pulsed LiDARs were suitable for spinner mounting configuration in turbine control applications [132,136]. Generator torque control, yaw control and blade pitch control are three typical strategies of wind turbine control [137]. In the LiDAR-assisted control system, the PPI scan pattern is generally used and the optimal scan configurations are dependent on control objectives.…”

Section: Turbine Controlmentioning

confidence: 99%

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

et al. 2019

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Doppler wind LiDAR (Light Detection And Ranging) makes use of the principle of optical Doppler shift between the reference and backscattered radiations to measure radial velocities at distances up to several kilometers above the ground. Such instruments promise some advantages, including its large scan volume, movability and provision of 3-dimensional wind measurements, as well as its relatively higher temporal and spatial resolution comparing with other measurement devices. In recent decades, Doppler LiDARs developed by scientific institutes and commercial companies have been well adopted in several real-life applications. Doppler LiDARs are installed in about a dozen airports to study aircraft-induced vortices and detect wind shears. In the wind energy industry, the Doppler LiDAR technique provides a promising alternative to in-situ techniques in wind energy assessment, turbine wake analysis and turbine control. Doppler LiDARs have also been applied in meteorological studies, such as observing boundary layers and tracking tropical cyclones. These applications demonstrate the capability of Doppler LiDARs for measuring backscatter coefficients and wind profiles. In addition, Doppler LiDAR measurements show considerable potential for validating and improving numerical models. It is expected that future development of the Doppler LiDAR technique and data processing algorithms will provide accurate measurements with high spatial and temporal resolutions under different environmental conditions.

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Section: Turbine Controlmentioning

confidence: 99%

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

et al. 2019

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“…Alternatively, LIDAR can be connected directly to the yaw controller in place of cup and vane and feed the data directly to the controller. Several studies have focused on using LIDAR for yaw error correction applications and explain how to use LIDAR generated data to correct yaw error . However, none of the previous studies on the use of LIDAR have either optimized how the LIDAR is used to maximize returns or performed any quantitative cost analyses.…”

Section: Introductionmentioning

confidence: 99%

Maximizing the returns of LIDAR systems in wind farms for yaw error correction applications

Bakhshi

Sandborn

2020

Wind Energy

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Wind energy is an important source of renewable energy with significant untapped potential around the world. However, the cost of wind energy production is high, and efforts to lower the cost of energy generation will help enable more widespread use of wind energy. Yaw error reduces the efficiency of turbines as well as lowers the reliability of key components in turbines. Light detection and ranging (LIDAR) devices can correct the yaw error; however, they are expensive, and there is a tradeoff between their costs and benefits. In this study, a stochastic discrete-event simula-

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“…Recently, researchers have shown great attention to the WTDO, studying three approaches. One approach is to use optimum control algorithms in which Lidar-enhanced control [15] and model predictive control methods [16] are proposed for the torque system, and one-step model predictive control [17] and multi-step model predictive control methods [18] are proposed for the yaw system. Another approach is to optimize the blade shape, such as by an adaptive blade concept for large-scale turbines [19], and the lifting surface method, for airfoils aerodynamic shape optimization [20], so that the wind turbine can gain high energy harvesting efficiency [21].…”

Section: Introductionmentioning

confidence: 99%

Minimizing the Energy Cost of Offshore Wind Farms by Simultaneously Optimizing Wind Turbines and Their Layout

et al. 2019

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The construction and gradual installation of turbines on wind farms has been hindered by the high cost of the energy production. An effective way to minimize energy costs is via the optimal design of wind turbines and their layout, but relevant and synthetic studies are lacking. This paper proposes a method to minimize the energy cost of offshore wind farms by simultaneously optimizing the rated wind speed, the rotor radius of wind turbines and their layout. Firstly, a new, mixed mathematical formulation of the energy cost is presented, considering the Weibull distribution for wind, the characterizing parameters of wind turbines and the distance between two turbines. Secondly, to obtain the minimum energy cost, a composite optimization algorithm was developed, which consists of an iterative method and an improved particle swarm optimization algorithm. The former was used to search the minimal energy costs that relate to the design parameters of a single wind turbine, while the latter was adopted for optimizing the layout of the wind turbines iteratively. Finally, the proposed method was applied to three case studies with variable wind speed and constant wind direction. Results of the case studies show that the reduced energy cost after optimization has a range of 0–0.001 $/kWh, which confirms the effectiveness of the proposed approach. Meanwhile, the layout of the wind turbines after optimization tends to locate the two wind turbines with the biggest spacing in the wind direction, which justifies the utilization of layout optimization. Furthermore, exploring the optimally designed parameters of wind turbines revealed that the wind farms with a high mean wind speed can have a wider range of turbine capacity than those with a low wind speed, which offers more freedom for the designers when constructing offshore wind farms at wind sites with rich wind resources.

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Lidar-enhanced wind turbine control: Past, present, and future

Cited by 64 publications

References 34 publications

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

Maximizing the returns of LIDAR systems in wind farms for yaw error correction applications

Minimizing the Energy Cost of Offshore Wind Farms by Simultaneously Optimizing Wind Turbines and Their Layout

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