The Rotor Speed Control of 5MW Wind Turbine under Rated Wind Speed Using Adaptive-PID Controller

2012 ◽  
Vol 229-231 ◽  
pp. 2323-2326
Author(s):  
Zong Qi Tan ◽  
Can Can Li ◽  
Hui Jun Ye ◽  
Yu Qiong Zhou ◽  
Hua Ling Zhu

This paper designed the controller of the wind turbine rotor rotating speed. This model of adaptive-PID through control the tip-speed ratio and count the values of PID for variable wind speed. From the result of simulation, the wind speed can run in a good dynamic characteristic, and keep the rotor running in the best tip-speed ratio at the same time.

Author(s):  
Kaman Thapa Magar ◽  
Mark J. Balas

A direct adaptive control approach is used to track the tip speed ratio of wind turbine to maximize the power captured during the below rated wind speed operation. Assuming a known optimum value of tip speed ratio, the deviation of actual tip speed ratio from the optimum one is mathematically expressed as tip speed ratio tracking error. Since the actual tip speed ratio is not a measurable quantity, this expression for tip speed ratio tracking error is linearized and simplified to express it in terms of wind speed and rotor speed, where rotor speed can easily be measured whereas an estimator is designed to estimate the wind speed. Important results from stability and convergence analysis of the proposed adaptive controller with state estimation and state feedback is also presented. From the analysis it was observed that the adaptive disturbance tracking controller can be combined with adaptive state feedback to achieve other control objectives such as reducing the wind turbine structural loading. Hence, an adaptive state feedback scheme is also proposed to reduce wind turbine tower fore-aft and side-side motions.


Author(s):  
Sukanta Roy ◽  
Ranjan Das ◽  
Ujjwal K. Saha

In this paper, feasible geographical locations in India have been identified to meet a desired performance criterion from a Savonius wind turbine rotor involving semicircular blades. The identification is based upon the average wind speed prevailing at the relevant location. For a given turbine geometry, in order to simultaneously satisfy the required power and torque characteristics over a particular range of tip speed ratio, an inverse problem is solved with the aid of golden section search method (GSSM)-based optimization algorithm to predict the required local wind speed. For this, the minimization of the sum of least square errors between the target power and torque coefficients is done with respect to some initially-guessed power and torque values. Thereafter, based on the estimated wind speed, the reconstructed power and torque characteristic curves are validated with the experimental wind tunnel data. The necessary blockage corrections have been considered during the inverse analysis for which pertinent correlations reported in the available literature are used. The variations of the estimated parameter and the pertinent objective function are studied at different iterations of the GSSM. The effect of the initial guess on the estimated value of wind velocity is also reported and it is found that a unique solution occurs for a particular set of power and torque characteristics. The present work avoids the conventional hit and trial method based nonlinear analysis along with repetitive field tests which are otherwise needed to simultaneously generate a given power and torque performance from the Savonius wind turbine. The proposed inverse method thus can be extremely useful to determine the feasible Indian geographical locations directly from any required torque and power data.


Author(s):  
Paul Schünemann ◽  
Timo Zwisele ◽  
Frank Adam ◽  
Uwe Ritschel

Floating wind turbine systems will play an important role for a sustainable energy supply in the future. The dynamic behavior of such systems is governed by strong couplings of aerodynamic, structural mechanic and hydrodynamic effects. To examine these effects scaled tank tests are an inevitable part of the design process of floating wind turbine systems. Normally Froude scaling is used in tank tests. However, using Froude scaling also for the wind turbine rotor will lead to wrong aerodynamic loads compared to the full-scale turbine. Therefore the paper provides a detailed description of designing a modified scaled rotor blade mitigating this problem. Thereby a focus is set on preserving the tip speed ratio of the full scale turbine, keeping the thrust force behavior of the full scale rotor also in model scale and additionally maintaining the power coefficient between full scale and model scale. This is achieved by completely redesigning the original blade using a different airfoil. All steps of this redesign process are explained using the example of the generic DOWEC 6MW wind turbine. Calculations of aerodynamic coefficients are done with the software tools XFoil and AirfoilPrep and the resulting thrust and power coefficients are obtained by running several simulations with the software AeroDyn.


2018 ◽  
Vol 29 (2) ◽  
pp. 39-49
Author(s):  
M. A. Abdel-Halim M. A. Abdel-Halim

In this research, a cage induction generator has been linked to the grid and driven with a wind-turbine to generate electrical power. The cage generator has been used in place of the costly slip-ring generator. The performance characteristics of the cage induction generator have been ameliorated through changing its number of poles to comply with the level of the wind speed to maximize the mechanical power extracted from the wind. Pole changing has been achieved employing pole-amplitude modulation technique resulting in three sets of pole numbers. The results proved the feasibility and effectiveness of the suggested method, as the proposed technique led to driving the generator, and consequently the wind-turbine at speeds close or equal to those satisfying the optimum tip-speed ratio which corresponds to the point of maximum mechanical power.


Author(s):  
Su Rui ◽  
Zhang Huan ◽  
Wang Fujun ◽  
Li Gangjun

The differential gear train and speed regulating motor constitute the variable ratio transmission for grid-connected wind turbine with differential speed regulation. The synchronous generator in the system can accessing the power grid without frequency converter. The transmission can realize the mode of variable speed constant frequency that the wind rotor speed is varying and the generator rotor speed is constant. The power control method is studied under the different wind speed which is lower or higher than rated wind speed with using the relational expression of utilization rate of wind energy Cp, pitch angle β and the tip speed ratio λ. The SIMULINK software is used to build the 1500 kW wind turbine model with differential speed regulation. Some different wind speed is made as input. The feasibility of power control method for grid-connected wind turbine with differential speed regulation is verified by the comparison between the simulation results and the theoretical value of the key parameters.


Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7314
Author(s):  
Francesco Natili ◽  
Francesco Castellani ◽  
Davide Astolfi ◽  
Matteo Becchetti

The measurement of the rotational speed of rotating machinery is typically performed based on mechanical adherence; for example, in encoders. Nevertheless, it can be of interest in various types of applications to develop contactless vision-based methodologies to measure the speed of rotating machinery. In particular, contactless rotor speed measurement methods have several potential applications for wind turbine technology, in the context of non-intrusive condition monitoring approaches. The present study is devoted exactly to this problem: a ground level video-tachometer measurement technique and an image analysis algorithm for wind turbine rotor speed estimation are proposed. The methodology is based on the comparison between a reference frame and each frame of the video through the covariance matrix: a covariance time series is thus obtained, from which the rotational speed is estimated by passing to the frequency domain through the spectrogram. This procedure guarantees the robustness of the rotational speed estimation, despite the intrinsic non-stationarity of the system and the possible signal disturbances. The method is tested and discussed based on two experimental environments with different characteristics: the former is a small wind turbine model (with a 0.45 m rotor diameter) in the wind tunnel facility of the University of Perugia, whose critical aspect is the high rotational speed (up to the order of 1500 RPM). The latter test case is a wind turbine with a 44 m rotor diameter which is part of an industrial wind farm: in this case, the critical point regards the fact that measurements are acquired in uncontrolled conditions. It is shown that the method is robust enough to overcome the critical aspects of both test cases and to provide reliable rotational speed estimates.


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1907 ◽  
Author(s):  
Ahmed G. Abo-Khalil ◽  
Saeed Alyami ◽  
Khairy Sayed ◽  
Ayman Alhejji

Large-scale wind turbines with a large blade radius rotates under fluctuating conditions depending on the blade position. The wind speed is maximum in the highest point when the blade in the upward position and minimum in the lowest point when the blade in the downward position. The spatial distribution of wind speed, which is known as the wind shear, leads to periodic fluctuations in the turbine rotor, which causes fluctuations in the generator output voltage and power. In addition, the turbine torque is affected by other factors such as tower shadow and turbine inertia. The space between the blade and tower, the tower diameter, and the blade diameter are very critical design factors that should be considered to reduce the output power fluctuations of a wind turbine generator. To model realistic characteristics while considering the critical factors of a wind turbine system, a wind turbine model is implemented using a squirrel-cage induction motor. Since the wind speed is the most important factor in modeling the aerodynamics of wind turbine, an accurate measurement or estimation is essential to have a valid model. This paper estimates the average wind speed, instead of measuring, from the generator power and rotating speed and models the turbine’s aerodynamics, including tower shadow and wind shear components, without having to measure the wind speed at any height. The proposed algorithm overcomes the errors of measuring wind speed in single or multiple locations by estimating the wind speed with estimation error less than 2%.


Author(s):  
Youjin Kim ◽  
Ali Al-Abadi ◽  
Antonio Delgado

This study introduces strategic methods for improving the aerodynamic performance of wind turbines. It was completed by combining different optimization methods for each part of the wind turbine rotor. The chord length and pitch angle are optimized by a torque-matched method (TMASO), whereas the airfoil shape is optimized by the genetic algorithm (GA). The TMASO is implemented to produce an improved design of a reference turbine (NREL UAE Phase V). The GA is operated to generate a novel airfoil design that is evaluated by automatic interfacing for the highest gliding ratio (GR). The adopted method produces an optimized wind turbine with an 11% increase of power coefficient (Cp) with 30% less of the corresponding tip speed ratio (TSR). Furthermore, the optimized wind turbine shows reduced tip loss effect.


2013 ◽  
Vol 291-294 ◽  
pp. 527-530
Author(s):  
Peng Zhan Zhou ◽  
Fang Sheng Tan

Based on BLADED software, the aerodynamic performance of a large scale wind turbine blade was analyzed under variable condition. The results show that the rated power of the blade under variable condition is increased 10%, when the rated wind speed is changed from 10.5m/s to 11.0 m/s. The blade’s wind power coefficient is above 0.46, and its tip speed ratio is between 7.8 and 11.4. When its tip speed ratio is 9.5, the blade’s maximum wind power coefficient is 0.486. It is indicated that the blade has good aerodynamic performance and wide scope of wind speed adaptive capacity. The blade root’s equivalent fatigue load is 2.11 MN•m, and its extreme flapwise load is 4.61 MN•m. The loads under variable condition are both less than that of the designed condition, so the blade’s application under variable condition is safe.


2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Mohamed M. Hammam ◽  
David H. Wood ◽  
Curran Crawford

A simple unsteady blade element analysis is used to account for the effect of the trailing wake on the induced velocity of a wind turbine rotor undergoing fast changes in pitch angle. At sufficiently high tip speed ratio, the equation describing the thrust of the element reduces to a first order, nonlinear Riccti's equation which is solved in a closed form for a ramp change in pitch followed by a constant pitch. Finite tip speed ratio results in a first order, nonlinear Abel's equation. The unsteady aerodynamic forces on the NREL VI wind turbine are analyzed at different pitch rates and tip speed ratio, and it is found that the overshoot in the forces increases as the tip speed ratio and/or the pitch angle increase. The analytical solution of the Riccati's equation and numerical solution of Abel's equation gave very similar results at high tip speed ratio but the solutions differ as the tip speed ratio reduces, partly because the Abel's equation was found to magnify the error of assuming linear lift at low tip speed ratio. The unsteady tangential induction factor is expressed in the form of first order differential equation with the time constant estimated using Jowkowsky's vortex model and it was found that it is negligible for large tip speed ratio operation.


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