scholarly journals Optimizing Wind Farm Control through Wake Steering using Surrogate Models based on High Fidelity Simulations

2019 ◽  
Author(s):  
Paul Hulsman ◽  
Søren Juhl Andersen ◽  
Tuhfe Göçmen
Keyword(s):  
Wind Farm ◽  
Control Strategies ◽  
Atmospheric Condition ◽  
Surrogate Models ◽  
Normal Operation ◽  
Total Power ◽  
High Fidelity ◽  
Power Gain ◽  
Model Errors ◽  
Aeroelastic Simulations

Abstract. This paper aims to develop fast and reliable surrogate models for yaw-based wind farm control. The surrogates, based on polynomial chaos expansion (PCE), are built using high fidelity flow simulations combined with aeroelastic simulations of the turbine performance and loads. Developing a model for wind farm control is a challenging control problem due to the time-varying dynamics of the wake. Both the power output and the loading of the turbines are included in the optimization of wind farm control strategies. Optimization results performed using two Vestas V27 turbines in a row for a specific atmospheric condition suggest that a power gain of almost 3 % ± 1 % can be achieved at close spacing by yawing the upstream turbine more than 15°. At larger spacing, the power gain the optimization shows that yawing is not beneficial as the optimization reverts to normal operation. Furthermore, it was also identified that a reduction of the equivalent loads was obtained at the cost of power production. The total power gains are discussed in relation to the associated model errors and the uncertainty of the surrogate models used in the optimization, and the implication for wind farm control.

scholarly journals Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations

2020 ◽  
Vol 5 (1) ◽  
pp. 309-329 ◽  
Author(s):  
Paul Hulsman ◽  
Søren Juhl Andersen ◽  
Tuhfe Göçmen
Keyword(s):  
Wind Farm ◽  
Atmospheric Condition ◽  
Surrogate Models ◽  
Normal Operation ◽  
Total Power ◽  
High Fidelity ◽  
Model Errors ◽  
Turbine Performance ◽  
Aeroelastic Simulations ◽  
The Cost

Abstract. This paper aims to develop fast and reliable surrogate models for yaw-based wind farm control. The surrogates, based on polynomial chaos expansion (PCE), are built using high-fidelity flow simulations coupled with aeroelastic simulations of the turbine performance and loads. Developing a model for wind farm control is a challenging control problem due to the time-varying dynamics of the wake. The wind farm control strategy is optimized for both the power output and the loading of the turbines. The optimization performed using two Vestas V27 turbines in a row for a specific atmospheric condition suggests that a power gain of almost 3%±1% can be achieved at close spacing by yawing the upstream turbine more than 15∘. At larger spacing the optimization shows that yawing is not beneficial as the optimization reverts to normal operation. Furthermore, it was also identified that a reduction in the equivalent loads was obtained at the cost of power production. The total power gains are discussed in relation to the associated model errors and the uncertainty of the surrogate models used in the optimization, as well as the implications for wind farm control.

Dynamic Modelling of Wind Farm Grid Interaction

2002 ◽  
Vol 26 (4) ◽  
pp. 191-210 ◽  
Author(s):  
Anca D. Hansen ◽  
Poul Sørensen ◽  
Frede Blaabjerg ◽  
John Becho
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Control Strategies ◽  
Dynamic Modelling ◽  
Normal Operation ◽  
Simulation Tool ◽  
Power System Simulation ◽  
Collection System ◽  
Wind Model ◽  
And Control

This paper describes a dynamic model of a wind farm and its nearest utility grid. It is intended to use this model in studies addressing the dynamic interaction between a wind farm and a power system, both during normal operation of the wind farm and during transient grid fault events. The model comprises the substation where the wind farm is connected, the internal power collection system of the wind farm, the electrical, mechanical and aerodynamic models for the wind turbines, and a wind model. The integrated model is built to enable the assessment of power quality and control strategies. It is implemented in the commercial dedicated power system simulation tool DIgSILENT.

scholarly journals Feedforward-Feedback wake redirection for wind farm control

2019 ◽  
Author(s):  
Steffen Raach ◽  
Bart Doekemeijer ◽  
Sjoerd Boersma ◽  
Jan-Willem van Wingerden ◽  
Po Wen Cheng
Keyword(s):  
Wind Farm ◽  
Atmospheric Condition ◽  
Total Power ◽  
Test Case ◽  
Feedback Controllers ◽  
Baseline Case ◽  
Lidar Measurements ◽  
Local Feedback ◽  
Feedforward Controller ◽  
Wake Model

Abstract. This work presents a combined feedforward-feedback wake redirection framework for wind farm control. The FLORIS wake model, a control-oriented steady-state wake model is used to calculate optimal yaw angles for a given wind farm layout and atmospheric condition. The optimal yaw angles, which maximize the total power output, are applied to the wind farm. Further, the lidar-based closed-loop wake redirection concept is used to realize a local feedback on turbine level. The wake center is estimated from lidar measurements 3D downwind of the wind turbines. The dynamical feedback controllers support the feedforward controller and reject disturbances and adapt to model uncertainties. Altogether, the total framework is presented and applied to a nine turbine wind farm test case. In a high fidelity simulation study the concept shows promising results and an increase in total energy production compared to the baseline case and the feedforward-only case.

Numerical Investigation of Wake Control Strategies for Maximizing the Power Generation of Wind Farm

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Miao Weipao ◽  
Li Chun ◽  
Yang Jun ◽  
Yang Yang ◽  
Xie Xiaoyun
Keyword(s):  
Power Generation ◽  
Tilt Angle ◽  
Wind Farm ◽  
Cfd Simulation ◽  
Control Strategies ◽  
Cone Angle ◽  
Total Power ◽  
Negative Effects ◽  
Computational Fluid Dynamics Cfd ◽  
Yaw Angle

In order to maximize the total power generation of a wind farm, several control strategies based on tilt angle, yaw angle, and cone angle were investigated numerically using computational fluid dynamics (CFD) simulation. The full rotor model (FRM) of 5 MW wind turbine was used to simulate the wake in the wind farm. According to the comparison of different cases' power generations and velocity fields, the result indicates that appropriate strategies based on tilt angle and positive yaw angle have effective improvements on the power output of whole wind farm, but changing cone angle and opposite yaw angle result in negative effects.

Comparison of two control strategies for VSC-MTDC with wind farm

2021 ◽  
Vol 14 ◽  
Author(s):  
Congshan Li ◽  
Pu Zhong ◽  
Ping He ◽  
Yan Liu ◽  
Yan Fang ◽  
...  
Keyword(s):  
Power Control ◽  
Control Strategy ◽  
Voltage Stability ◽  
Wind Farm ◽  
Control Strategies ◽  
Wind Farms ◽  
Active Power ◽  
Stable Operation ◽  
Active Power Control ◽  
Dc Voltage

: Two VSC-MTDC control strategies with different combinations of controllers are proposed to eliminate transient fluctuations in the DC voltage stability, resulting from a power imbalance in a VSC-MTDC connected to wind farms. First, an analysis is performed of a topological model of a VSC converter station and a VSC-MTDC, as well as of a mathematical model of a wind turbine. Then, the principles and characteristics of DC voltage slope control, constant active power control, and inner loop current control used in the VSC-MTDC are introduced. Finally, the PSCAD/EMTDC platform is used to establish an electromagnetic transient model of a wind farm connected to a parallel three-terminal VSC-HVDC. An analysis is performed for three cases of single-phase grounding faults on the rectifier and inverter sides of a converter station and of the withdrawal of the converter station on the rectifier side. Next, the fault response characteristics of VSC-MTDC are compared and analyzed. The simulation results verify the effectiveness of the two control strategies, both of which enable the system to maintain DC voltage stability and active power balance in the event of a fault. Background: The use of a VSC-MTDC to connect wind power to the grid has attracted considerable attention in recent years. A suitable VSC-MTDC control method can enable the stable operation of a power grid. Objective: The study aims to eliminate transient fluctuations in the DC voltage stability resulting from a power imbalance in a VSC-MTDC connected to a wind farm. Method: First, the topological structure and a model of a three-terminal VSC-HVDC system connected to wind farms are studied. Second, an analysis is performed of the outer loop DC voltage slope control, constant active power control and inner loop current control of the converter station of a VSC-MTDC. Two different control strategies are proposed for the parallel three-terminal VSC-HVDC system: the first is DC voltage slope control for the rectifier station and constant active power control for the inverter station, and the second is DC voltage slope control for the inverter station and constant active power for the rectifier station. Finally, a parallel three-terminal VSC-HVDC model is built based on the PSCAD/EMTDC platform and used to verify the accuracy and effectiveness of the proposed control strategy. Results: The results of simulation analysis of the faults on the rectifier and inverter sides of the system show that both strategies can restore the system to the stable operation. The effectiveness of the proposed control strategy is thus verified. Conclusion: The control strategy proposed in this paper provides a technical reference for designing a VSC-MTDC system for wind farms.

Thermodynamic and dynamic analysis off a wind-powered off-grid industrial building integrated with solid oxide fuel cell and electrolyzer for energy management and storage

2021 ◽  
pp. 1-30
Author(s):  
Pegah Mottaghizadeh ◽  
Mahshid Fardadi ◽  
Faryar Jabbari ◽  
Jacob Brouwer
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Wind Farm ◽  
Control Strategies ◽  
Storage System ◽  
Energy Storage System ◽  
Solid Oxide ◽  
System Level ◽  
Industrial Building ◽  
Oxide Fuel

Abstract In this study, an islanded microgrid system is proposed that integrates identical stacks of solid oxide fuel cell and electrolyzer to achieve a thermally self-sustained energy storage system. Thermal management of the SOEC is achieved by use of heat from the SOFC with a heat exchanger network and control strategies. While the SOFC meets the building electricity demand and heat from its electrochemical reactions is transferred to the SOEC for endothermic heat and standby demands. Each component is physically modelled in Simulink and ultimately integrated at the system level for dynamic analyses. The current work simulates a system comprised of a wind farm in Palm Springs, CA coupled with the SOEC (for H2 generation), and an industrial building powered by the SOFC. Results from two-weeks of operation using measured building and wind data showed that despite fluctuating power profiles, average temperature and local temperature gradients of both the SOEC and SOFC were within desired tolerances. However, for severe conditions of wind power deficit, H2 had to be supplied from previous windy days' storage or imported.

scholarly journals Full-Scale Wind Turbine Vibration Signature Analysis

Machines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 63 ◽  
Author(s):  
Xavier Escaler ◽  
Toufik Mebarki
Keyword(s):  
Wind Farm ◽  
Power Spectra ◽  
Operating Conditions ◽  
Drive Train ◽  
Normal Operation ◽  
Common Source ◽  
Variable Speed ◽  
Data Set ◽  
Vibration Signature ◽  
Power Curves

A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two bearings, and the drive train connected to an intermediate three-stage planetary/helical gearbox. The nominal 2 MW output power was regulated using blade pitch adjustment. Vibrations were measured in exactly the same positions using the same type of sensors over a six-month period covering the entire range of operating conditions. The data set was preliminary validated to remove outliers based on the theoretical power curves. The most relevant frequency peaks in the rotor, gearbox, and generator vibrations were detected and identified based on averaged power spectra. The amplitudes of the peaks induced by a common source of excitation were compared in different measurement positions. A wind speed dependency of broadband vibration amplitudes was also observed. Finally, a fault detection case is presented showing the change of vibration signature induced by a damage in the gearbox.

High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm

2021 ◽  
Vol 281 ◽  
pp. 116115
Author(s):  
Xiaolei Yang ◽  
Christopher Milliren ◽  
Matt Kistner ◽  
Christopher Hogg ◽  
Jeff Marr ◽  
...  
Keyword(s):  
Wind Farm ◽  
Field Measurements ◽  
High Fidelity ◽  
Wind Fields ◽  
High Fidelity Simulations ◽  
Utility Scale
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