基于混杂系统的风力发电机组建模与控制

针对风力发电机组系统固有的混杂系统典型特征,运用混杂自动机理论和混合逻辑动态理论建立了风力发电机组的混杂模型,设计了基于自动机模型的全程混杂控制系统,并以1台额定功率为300 MW的变速变桨距风力发电机组为例进行了仿真.结果表明:自动机模型可实现风电机组的全程模拟,自动机的混杂控制系统可满足风电机组全程控制的要求,而且基于混合逻辑动态模型的预测控制也实现了功率输出优化,证明了混杂系统理论应用于风力发电研究领域的有效性和实用性.     

大型风力发电机组的建模与仿真

建立了大型变桨距风力发电机组在标称状况下的非线性数学模型，将其线性化后，在不同风速下进行了不同输入（桨矩角β、风速ｖ和电网电压Ｕ１变化）的开环仿真。仿真结果对控制器的设计有参考价值。     

基于MATLAB的风力发电机组建模和仿真研究

变桨距控制技术是风力发电机组提高对风能的利用的有效方法,由于外界环境的随机性和控制变量的多样性,风力发电系统是一个非线性的系统,其数学模型的建立和仿真是一个难点。本文基于Matlab软件平台,采用机理建模法建立了风力发电机组的各个分系统的子模型,组合成整个机组的数学模型,并采用PID控制算法实现风力发电机组在不同风速下对风能利用的最大化,仿真结果验证了系统模型和控制算法的正确性,为风机控制的创新奠定了理论基础。     

风力发电机组建模研究现状

风力发电系统的建模是对风力机系统进行控制和优化的基础。该文讨论了风力发电系统建模的思想,对在国内外的风力发电机组建模中已经采用的模型、方法及其应用的优缺点进行了综合分析,并在分析的基础上,介绍了模型的简化方法和线性化方法,结合学科发展的趋势,提出了以后的发展目标,这对有关风力发电机组的建模和控制方面有一定的借鉴意义。     

大型风力发电机组控制系统的安全保护功能

介绍了风力发电机组控制系统所具备的主要功能之一——安全保护功能。它主要包括制动保护、独立安全链、防雷保护、器件自身保护、接地以及后备电源等保护功能，这些保护是风力发电机组安全运行的前提和保证。     

大型风力发电机组的软并网控制系统

本文在介绍桨距失速控制风力发电机组控制系统中软并网部分控制要求与控制策略的基础上,给出了大型风力发电机组软并网系统控制的总体设计思路,分析了大型风力发电机组各种并网方式的特点,同时给出了用单片机设计的硬件电路及软件的设计方案。     

基于动态面控制的液压型风力发电机组稳速控制研究

针对液压型风力发电机组液压调速系统稳速控制问题,建立了风速、风力机特性数学模型和定量泵-变量马达液压调速系统的关键参数状态方程.提出了一种基于动态面控制的稳速输出控制方法,并对其控制律进行推导分析,采用动态面控制原理对变量马达转速进行多闭环控制,并对30kVA液压型风力发电机组进行了仿真和实验研究.结果表明:该方法具有较好的控制效果,对风力机输入的时变性和不确定性具有良好的抑制作用,实现了机组的稳速控制.     

大型风力发电机组技术发展趋势

风力发电技术在20世纪90年代获得长足的进步，巳发展成为新能源开发利用中最成熟的一门技术。并网型风电机组成为风电利用的最好形式，并向大型化方面发展。文章简要阐述了大型并网型风力发电机组在功率调节方式，发电机组技术等方面的现状、发展趋势和研究方向。     

风特性对风力发电机组输出功率的影响

为了准确研究不同类型的风速对并网风电机组输出功率的影响,建立了并网风力发电机模型和不同类型风速的模型。在不同类型风速的扰动下,对异步风电机输出功率的波动进行了仿真分析;针对引起功率振荡最严重的阵风,进行了不同频率的阵风扰动下风电机组功率振荡的比较,对阵风扰动下风电机组间的相互影响进行了仿真分析。结果表明,在相同幅值的扰动下,阵风引起的风电机组功率振荡最严重,机组功率振荡情况与阵风扰动的频率有关,单台机组在阵风扰动下产生的振荡对其他机组也会产生一定的影响。     

离网型风力发电机的大风限速保护研究

如果解决不好离网型风力发电机的大风限速保护问题,就会大大地降低其可靠性和安全性.文章从风轮与发电机的匹配人手,一改传统离网型风力发电机最佳功率匹配运行为峰前匹配运行,使风力发电机在大风时保持较低的风能利用系数,具有大风时的限速保护作用.     

基于模糊控制的风电机组独立变桨距控制

在额定风速以上时,通常采用变桨距控制技术调节大型风电机组来稳定其输出功率.由于风力发电系统的数学模型具有高度非线性、多变量、强耦合的特点,风速又具有多变性,因此文章在分析传统的PID变桨距控制技术优缺点的基础上,提出了基于三维模糊自适应PID控制的独立变桨距控制技术,并且引入风速的模糊前馈控制技术.对1 MW风电机组进行仿真,结果表明,在额定风速以上时,该方法不仅能稳定风电机组的输出功率,而且可以减小桨叶的拍打振动.     

Global sensitivity analysis of wind turbine power output

The dynamics of wind turbine behavior are complex and a critical area of study for the wind industry. Identification of factors that cause changes in turbine performance can sometimes prove to be challenging, whereas other times, it can be intuitive. The quantification of the effect that these factors have is valuable for making improvements to both power performance and turbine health. In commercial farms, large quantities of meteorological and performance data are commonly collected to monitor daily operations. These data can also be used to analyze the relationship between each parameter in order to better understand the interactions that occur and the information contained within these signals. In this global sensitivity analysis, a neural network is used to model select wind turbine supervisory control and data acquisition system parameters for an array of turbines from a commercial wind farm that exhibit signs of wake interaction. An extended Fourier amplitude sensitivity test is then performed for 2 years of 10‐min averaged data. The study examines the primary and combined sensitivities of power output to each selected parameter for two turbines in the array. The primary sensitivities correspond to single parameter interactions, whereas combined sensitivities account for interactions between multiple parameters simultaneously. Highly influential parameters such as wind speed and rotor rotation frequency produce expected results; the extended Fourier amplitude sensitivity test method proved effective at quantifying the sensitivity of a wide range of more subtle inputs. These include blade pitch, yaw position, main bearing and ambient temperatures as well as wind speed and yaw position standard deviation. The technique holds promise for application in full‐scale wake studies where it might be used to determine the benefits of emerging power optimization strategies such as active wake management. The field of structural health monitoring can also benefit from this method. Copyright © 2013 John Wiley & Sons, Ltd.     

Adjustment of wind farm power output through flexible turbine operation using wind farm control

When the installed capacity of wind power becomes high, the power generated by wind farms can no longer simply be that dictated by the wind speed. With sufficiently high penetration, it will be necessary for wind farms to provide assistance with supply‐demand matching. The work presented here introduces a wind farm controller that regulates the power generated by the wind farm to match the grid requirements by causing the power generated by each turbine to be adjusted. Further, benefits include fast response to reach the wind farm power demanded, flexibility, little fluctuation in the wind farm power output and provision of synthetic inertia. Copyright © 2015 John Wiley & Sons, Ltd.     

兆瓦风力发电机系统可靠性设计理论研究

在分析兆瓦风力发电机系统的基础上,提出了兆瓦风力发电机发电系统可靠度的基本概念及计算方法,建立了可靠度最优分配的数学模型及最优兆瓦风机发电系统可靠性设计的数学模型。     

Transient and dynamic control of a variable speed wind turbine with synchronous generator

In this article, a controller for dynamic and transient control of a variable speed wind turbine with a full‐scale converter‐connected high‐speed synchronous generator is presented. First, the phenomenon of drive train oscillations in wind turbines with full‐scale converter‐connected generators is discussed. Based on this discussion, a controller is presented that dampens these oscillations without impacting on the power that the wind turbine injects into the grid. Since wind turbines are increasingly demanded to take over power system stabilizing and control tasks, the presented wind turbine design is further enhanced to support the grid in transient grid events. A controller is designed that allows the wind turbine to ride through transient grid faults. Since such faults often cause power system oscillations, another controller is added that enables the turbine to participate in the damping of such oscillations. It is concluded that the controllers presented keep the wind turbine stable under any operating conditions, and that they are capable of adding substantial damping to the power system. Copyright © 2007 John Wiley & Sons, Ltd.     

Performance of a 3 kW wind turbine generator with variable pitch control system

A prototype 3 kW horizontal upwind type wind turbine generator of 4 m in diameter has been designed and examined under real wind conditions. The machine was designed based on the concept that even small wind turbines should have a variable pitch control system just as large wind turbines, especially in Japan where typhoons occur at least once a year. A characteristic of the machine is the use of a worm and gear system with a stepping motor installed in the center of the hub, and the rotational main shaft. The machine is constructed with no mechanical breaking system so as to avoid damage from strong winds. In a storm, the wind turbine is slowed down by adjusting the pitch angle and the maximum electrical load. Usually the machine is controlled at several stages depending on the rotational speed of the blades. Two control methods have been applied: the variable pitch angle, and regulation of the generator field current. The characteristics of the generator under each rotational speed and field current are first investigated in the laboratory. This paper describes the performances of the wind turbine in terms of the functions of wind turbine rotational speed, generated outputs, and its stability for wind speed changes. The expected performances of the machine have been confirmed under real wind conditions and compared with numerical simulation results. The wind turbine showed a power coefficient of 0.257 under the average wind speed of 7.3 m/s.     

Analysis of light detection and ranging wind speed measurements for wind turbine control

Light detection and ranging (LIDAR) systems are able to measure the speed of incoming wind before it reaches a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine structural loads. However, the degree to which such preview‐based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. This study examines the accuracy of different measurement scenarios that rely on coherent continuous‐wave or pulsed Doppler LIDAR systems, in terms of root‐mean‐square measurement error, to determine their applicability to feedforward control. In particular, the impacts of measurement range, angular offset of the LIDAR beam from the wind direction, and measurement noise are studied for various wind conditions. A realistic simulation case involving a scanning LIDAR unit mounted in the spinner of a MW‐scale wind turbine is studied in depth, with emphasis on preview distances that provide minimum measurement error for a specific scan radius. Measurement error is analyzed for LIDAR‐based estimates of point wind speeds at the rotor as well as spanwise averaged blade effective wind speeds. The impact of turbulence structures with high coherent turbulent kinetic energy on measurement error is discussed as well. Copyright © 2013 John Wiley & Sons, Ltd.