Assessing Wind Gust Characteristics at Wind Turbine Relevant Height

2021 ◽  
Author(s):  
Zhenru Shu ◽  
Pak Wai Chan ◽  
Qiusheng Li ◽  
Yuncheng He ◽  
B W Yan ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Wind Gust

337 Aerodynamic Loads on Horizontal Axis Wind Turbine Rotors Exerted by Wind Gust

2005 ◽  
Vol 2005.2 (0) ◽  
pp. 245-246
Author(s):  
Shinya HOTTA ◽  
Yutaka HASEGAWA ◽  
Hiroshi IMAMURA ◽  
Junsuke MURATA ◽  
Koji KIKUYAMA
Keyword(s):  
Wind Turbine ◽  
Horizontal Axis ◽  
Wind Gust ◽  
Horizontal Axis Wind Turbine ◽  
Aerodynamic Loads ◽  
Turbine Rotors

A Robust Fuzzy-PI Pitch Angle Controller for Wind Turbine Systems

2015 ◽  
Vol 793 ◽  
pp. 412-416
Author(s):  
Shaon Ahmed ◽  
Mohd. Abdur Rashid ◽  
S.B. Yaakob ◽  
F. Malek
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Real Life ◽  
Pi Controller ◽  
Pi Control ◽  
Wind Gust ◽  
Wind Condition ◽  
Membership Functions ◽  
Fuzzy Pi Controller ◽  
Excessive Stress

This paper presents a robust Fuzzy-PI controller to adjust the pitch angle of a grid integrated wind turbine. The pitch angle mechanism of a turbine blade allows it rotate on its own axis so that it can protect itself from high wind gust and release excessive stress from the mechanical structure. Although a classical PI controller has been widely used for this purpose, they cannot assure generator stability. The proposed Fuzzy-PI control system uses three control inputs and nine membership functions to make decision on pitch angle output. A wind speed model is devised to simulate real life turbulent wind condition. The simulation results show that the Fuzzy-PI controller is more suitable for turbine operation if it is subjected to heavy turbulence.

scholarly journals Design of an Active Damping System for Vibration Control of Wind Turbine Towers

2021 ◽  
Vol 6 (11) ◽  
pp. 162
Author(s):  
Hao Bai ◽  
Younes Aoues ◽  
Jean-Marc Cherfils ◽  
Didier Lemosse
Keyword(s):  
Wind Turbine ◽  
Structural Safety ◽  
Electrical Network ◽  
Natural Mode ◽  
Wind Gust ◽  
Maximum Loading ◽  
Wind Turbine Towers ◽  
Active Damper ◽  
Grid Loss

The vibration of wind turbine towers is relevant to the reliability of the wind turbine structure and the quality of power production. It produces both ultimate loads and fatigue loads threatening structural safety. This paper aims to reduce vibration in wind turbine towers using an active damper named the twin rotor damper (TRD). A single degree of freedom (SDOF) oscillator with the TRD is used to approximate the response of wind turbines under a unidirectional gusty wind with loss of the electrical network. The coincidence between the wind gust and the grid loss is studied to involve the maximum loading on the structure. The performance of the proposed damping system under the maximum loading is then evaluated on the state-of-the-art wind turbine NREL 5 MW. The effectiveness of the TRD is compared to a passive tuned mass damper (TMD) designed with similar requirements. The numerical results reveal that, at the 1st natural mode, the TRD outperforms the passive TMD by three to six times. Moreover, the results show that the TRD is effective in reducing ultimate loads on wind turbine towers.

Seismic Noise Induced by Wind Turbine Operation and Wind Gusts

2019 ◽  
Vol 91 (1) ◽  
pp. 427-437
Author(s):  
Weifei Hu ◽  
Rebecca J. Barthelmie ◽  
Frederick Letson ◽  
Sara C. Pryor
Keyword(s):  
Wind Turbine ◽  
Seismic Data ◽  
Seismic Noise ◽  
Meteorological Data ◽  
Power Spectra ◽  
Wind Gust ◽  
Attenuation Coefficients ◽  
Earthquake Detection ◽  
Wind Gusts ◽  
Noise Characterization

Abstract Improved seismic noise characterization, due to varied sources, may benefit traditional applications. Some examples are earthquake detection, Earth structure research, and nuclear testing. This improvement could also permit use of seismic data in transdisciplinary research such as wind gust detection and wind turbine (WT) condition monitoring. However, it is a challenging task to unambiguously quantify relationships between potential sources of seismic noise and the actual seismic response. In this article, we analyze seismic and meteorological data (wind speed and pressure), measured at a remote site in a complex terrain area in eastern Portugal, to examine seismic signatures from WT operational status and wind gusts. Results presented herein show the following: (1) WT signatures in seismic data can be used to accurately determine WT‐operational status. Attenuation of WT signatures in seismic data exhibits an exponential decay with distance, with attenuation coefficients that scale with frequency. (2) After WT signatures are removed from seismic power spectra, wind gust signatures remain. Analyses of these data further indicate that it may be possible to extract quantitative wind gust estimates from seismic data and decompose them into pressure and shear stress drivers of this coupling.

scholarly journals Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 509 ◽  
Author(s):  
Gilberto Santo ◽  
Mathijs Peeters ◽  
Wim Van Paepegem ◽  
Joris Degroote
Keyword(s):  
Wind Turbine ◽  
Fluid Structure Interaction ◽  
Horizontal Axis ◽  
Wind Gust ◽  
Horizontal Axis Wind Turbine ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Computational Fluid Dynamics Cfd ◽  
Computational Structural Mechanics ◽  
Csm Model

The effect of a wind gust impacting on the blades of a large horizontal-axis wind turbine is analyzed by means of high-fidelity fluid–structure interaction (FSI) simulations. The employed FSI model consisted of a computational fluid dynamics (CFD) model reproducing the velocity stratification of the atmospheric boundary layer (ABL) and a computational structural mechanics (CSM) model loyally reproducing the composite materials of each blade. Two different gust shapes were simulated, and for each of them, two different amplitudes were analyzed. The gusts were chosen to impact the blade when it pointed upwards and was attacked by the highest wind velocity due to the presence of the ABL. The loads and the performance of the impacted blade were studied in detail, analyzing the effect of the different gust shapes and intensities. Also, the deflections of the blade were evaluated and followed during the blade’s rotation. The flow patterns over the blade were monitored in order to assess the occurrence and impact of flow separation over the monitored quantities.

scholarly journals Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3110 ◽  
Author(s):  
Alhassan H. Alattar ◽  
S. I. Selem ◽  
Hamid M. B. Metwally ◽  
Ahmed Ibrahim ◽  
Raef Aboelsaud ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Performance Enhancement ◽  
Magnetic Energy ◽  
Coupling Parameter ◽  
Optimization Technique ◽  
Wind Gust ◽  
Grid System ◽  
Objective Functions ◽  
Load Power ◽  
Micro Grid

Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind–diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional–integral–differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind–diesel hybrid system. The proposed MBA–SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA–SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

Sign in / Sign up

Export Citation Format

Share Document