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针对变速变桨风力发电机组(variable speed variable pitch,VSVP)如何在低风速时最大限度捕获风能以及在额定风速以上降低传动链载荷进行研究。低风速时在研究了传统风能追踪控制策略的基础上,文中提出通过改变最优增益系数来追踪最佳风能利用系数的自适应转矩控制策略。同时针对风力发电机组传动链的扭转振动,提出了基于发电机转速反馈滤波的转矩纹波控制方式。以2MW变速变桨风力发电机组为验证对象,基于Blade软件平台对所采用的控制策略进行仿真研究。结果表明:所提出的自适应转矩控制策略能够更好的追踪最大功率点,同时采用转矩纹波能够降低传动链载荷 相似文献
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针对传统统一变桨距控制策略存在的不足,基于风力机空气动力学原理,提出了基于神经元PID的独立变桨距控制策略,将测量的桨叶根部My方向载荷通过神经元PID控制算出d、q轴的桨距角,经反Park变换得到3个桨叶的附加桨距角,将其与统一变桨距角相加作为独立桨距角的设定值。并借助Fast软件平台以2MW变速变桨风力发电机组为例,仿真比较了独立变桨距控制策略与统一变桨距控制策略。结果表明,独立变桨距控制策略能有效保证在额定转速下机组输出功率稳定,且能有效降低风力发电机组各零部件的疲劳载荷。 相似文献
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研究在全工况下如何通过独立变桨距来减小机组关键零部件的疲劳载荷,考虑风剪造成的1 P不平衡载荷,采用LQR方法设计风力发电机的独立变桨距控制器,由于单纯采用基于状态空间的独立变桨距控制导致系统鲁棒性较差,因此引入带增益调度的统一变桨距控制,在统一变桨距的基础上附加独立变桨距。以5 MW变速变桨距风力发电机组为验证对象,基于NREL开发的FAST软件与Matlab 7.1/Simulink平台,在Simulink中实现风力发电机控制,并将控制信号返回FAST进行风力发电机的非线性仿真,在全工况下对独立变桨距控制策略与统一变桨距控制策略进行仿真验证。结果表明:相对统一变桨距控制,所提出的在全工况下带增益调度的独立变桨距控制,在保证额定转速下保持稳定的电功率输出的同时,能有效降低零部件疲劳载荷。 相似文献
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基于激光测风雷达的风速前馈控制算法设计 总被引:1,自引:0,他引:1
文章提出了基于激光测风雷达的风速前馈控制算法设计,其特点是通过激光雷达准确有效地测得风力发电机组前方一定距离的风速、风向信号,并把所测信号引入到原有变桨控制算法中,设计了风速前馈控制器,实现变桨速率前馈补偿.以国产某1.5 MW风力发电机组设计为例,基于Bladed软件平台对所采用的算法进行仿真验证.结果表明,在来流作用于风轮之前,控制器就已经接收到超前信号,提前准备变桨动作,避免或大大减少风力发电机组的超速故障,降低了机组载荷,提高了风力发电机组在极端风况下的安全性,进而有助于提高发电量,改善风力发电机组的运行效率. 相似文献
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台风工况时,变桨风机顺桨停机,整机气动载荷随风向时变,在台风交变载荷作用下,已运营的风力发电机组容易出现批量部件损坏,影响风力发电机组的全寿命周期.以2013年9月天兔台风影响的广东东部沿海山地风场为背景,参考背景风场风机设计标准,拟定考虑动态湍流的极端风速模型,选择某2 MW变桨风力发电机组为算例,分别计算该机型在台... 相似文献
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为了提高和改善在电网故障下并网风电机组的暂态稳定性,该文以并网笼型异步风力发电机组为例,考虑风力机传动链柔性带给机组振荡的影响,在典型变桨控制策略的基础上提出了一种增加以风力机转速为控制量的分阶段控制策略.通过建立并网异步风力发电机组的电磁暂态模型,基于Matlab/Simulink仿真平台,应用改进的变桨距控制策略,对电网三相对称短路故障下并网异步风力发电机组的暂态运行特性进行了仿真,并将其结果和多种不同变桨控制策略以及无功补偿策略的结果进行了比较.仿真结果验证了该文提出的变桨距控制策略能有效改善风力发电机组的暂态稳定性. 相似文献
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风 风能 风力发电——21世纪新型清洁能源 总被引:7,自引:0,他引:7
一风的一般属性1风的形成风是人们非常熟悉的一种自然现象,人人都能感觉到它的存在。春风和煦,给万物带来生机;夏风吹拂,使人心旷神怡;秋风送爽,带来丰收的喜悦;冬风呼啸,迎来漫天飞雪。那么风是怎样形成的呢?众所周知,人类生活的地球表面被大气所包围,来自太阳的辐射不断传送到地球表面,因太阳辐射受热情况不同,地球表面各处的气温不同。在影响气压高低的因素中,气温起着最重要的作用。温度高的地区空气受热上升,气压减小;温度低的地方,空气下降,气压增大,于是产生了气压差。和水往低处流一样,空气也从气压高处向气压… 相似文献
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Here, we quantify relationships between wind farm efficiency and wind speed, direction, turbulence and atmospheric stability using power output from the large offshore wind farm at Nysted in Denmark. Wake losses are, as expected, most strongly related to wind speed variations through the turbine thrust coefficient; with direction, atmospheric stability and turbulence as important second order effects. While the wind farm efficiency is highly dependent on the distribution of wind speeds and wind direction, it is shown that the impact of turbine spacing on wake losses and turbine efficiency can be quantified, albeit with relatively large uncertainty due to stochastic effects in the data. There is evidence of the ‘deep array effect’ in that wake losses in the centre of the wind farm are under‐estimated by the wind farm model WAsP, although overall efficiency of the wind farm is well predicted due to compensating edge effects. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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We introduce a novel scheme for small wind turbines that gives dynamic estimation of wind speed from rotor angular velocity measurements. The estimation proceeds in two different dynamic observers, one giving a valid estimate for higher Tip Speed Ratios (TSRs) and which we call the Upper Wind Estimator (UWE) and the other called the Lower Wind Estimator (LWE) valid for lower TSRs. The meaning of “higher” and “lower”, and the precise regions of validity, are quantified. We further propose a coordinated control scheme using the UWE. Simulations are presented showing closed-loop performance of the turbine and the estimators both in the optimal TSR regulation condition, and the dynamic power-shedding condition caused by a wind gust. An analytic analysis of closed-loop stability and of the convergence and bias properties of the estimator is provided. Empirical data showing performance on a real turbine is also presented. 相似文献
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Simulation of hourly wind speed and array wind power 总被引:2,自引:0,他引:2
Statistical summaries of wind speed are sufficient to compute many characteristics of turbine-generated power, such as the mean, variance and reliability of various power levels. However, a wind speed time series is necessary to produce a sequence of power values as used for investigating load matching and storage requirements. Since a long historical record of wind speed may not be available at a wind turbine candidate site, it is desirable to be able to generate a simulated numerical sequence of hourly wind speed values. Two such approximate procedures are developed in this paper. One procedure generates sequential wind speed values at a site based on the Weibull parameters of hourly wind speed and the lag-one autocorrelation of hourly wind speed values. Comparison with historical data at a site is made. The second procedure generates sequential hourly wind power values for a regional array of wind turbines. It utilizes the typical site wind characteristics, the spatial and lag-one cross correlation and autocorrelation of hourly wind speed values and an equivalent linearized relationship between array average wind speed and array power. Comparison with results for six different wind turbines in three different regional arrays indicates good agreement for wind power histograms, autocorrelation function and mean persistence. 相似文献
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Knowledge of the wind speed distribution and the most frequent wind directions is important when choosing wind turbines and when locating them. For this reason wind evaluation and characterization are important when forecasting output power. The data used here were collected from eleven meteorological stations distributed in Navarre, Spain. We obtained data for the period extending from 1992 to 1995, with each datum encompassing 10 minutes of time. Wind speed data of each station were gathered in eight directional sectors, each one extended over 45 degrees according to the direction from which the wind blows. The stations were grouped in two blocks: those under the influence of the Ebro valley and those in mountainous areas. For each group the Weibull parameters were estimated, (according to the Weibull probability paper because the Weibull distribution gives the best fit in this region). Kurtosis and skewness coefficients were estimated as well. The Weibull parameters, especially the scale parameter c, depend strongly on the direction considered, and both Weibull parameters show an increasing trend as the direction considered moves to the more dominant direction, while both kurtosis and skewness show a corresponding decreasing trend. 相似文献
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A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting
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Aditya Choukulkar Yelena Pichugina Christopher T. M. Clack Ronald Calhoun Robert Banta Alan Brewer Michael Hardesty 《风能》2016,19(8):1439-1452
The spurt of growth in the wind energy industry has led to the development of many new technologies to study this energy resource and improve the efficiency of wind turbines. One of the key factors in wind farm characterization is the prediction of power output of the wind farm that is a strong function of the turbulence in the wind speed and direction. A new formulation for calculating the expected power from a wind turbine in the presence of wind shear, turbulence, directional shear and direction fluctuations is presented. It is observed that wind shear, directional shear and direction fluctuations reduce the power producing capability, while turbulent intensity increases it. However, there is a complicated superposition of these effects that alters the characteristics of the power estimate that indicates the need for the new formulation. Data from two field experiments is used to estimate the wind power using the new formulation, and results are compared to previous formulations. Comparison of the estimates of available power from the new formulation is not compared to actual power outputs and will be a subject of future work. © 2015 The Authors. Wind Energy published by John Wiley & Sons, Ltd. 相似文献