风电汇集地区SVC控制方式对电压异常振荡影响因素分析

随着风电渗透率不断升高,在大规模风电汇集地区由新投入静止无功补偿器(SVC)引发电压异常振荡的现象时有发生,引发了运行及研究人员的关注。基于典型大规模风电汇集地区无功电压控制现状,在DIgSILENT/PowerFactory中建立等效的系统模型,从SVC控制方式的角度出发,采用小干扰稳定特征值分析、时域仿真及波特图等不同稳定分析方法,对无功补偿装置恒电压和恒无功两种控制方式的适应性进行了比较与分析。并通过引入控制理论中对特定变量进行开环传递函数推导的方法,从新投入控制器的视角,以理论层面上对实际现场中新无功补偿控制器投入诱发振荡的现象进行了机理分析。研究结果表明:SVC不同控制方式随着系统变化的适应性不同,就系统已投入SVC风电场数目及系统阻抗方面的变化而言,对于大规模风电汇集地区的弱送端系统,无功补偿装置恒无功控制方式较恒电压控制方式的适应性更优。

传统车身与柔性体车身在模拟分析中的对比研究

对传统车身和柔性体车身在模拟分析中进行了对比研究,首先,利用传统车身做显示分析,然后,再替换成柔性体车身做显示分析。在这两种车身模型的情况下,显示分析过程分别分为两个阶段:第一阶段是在重力场作用下的准静态响应阶段;第二阶段是货车在一定初速度下的动态响应阶段。最后,经过对两种车身模型的分析可知,柔性体车身比传统车身能更接近于实际的反映货车通过障碍物时的车身变形情况。

基于缺陷敏感性的大直径贮箱椭球箱底内压稳定性研究

薄膜理论解析法对考虑几何缺陷的贮箱椭球箱底的内压稳定性难以求解。利用有限元方法分析了一阶特征值模态缺陷和凹陷缺陷对大直径椭球箱底/筒段结构内压稳定性的影响。研究结果表明:一阶特征值模态缺陷的幅值小于壁厚的0.3倍时,屈曲载荷与缺陷幅值成反比,大于壁厚的0.3倍,屈曲载荷与缺陷幅值成正比;椭球箱底向外凹陷刚度比向内凹陷刚度大,相对于向内的凹陷缺陷,贮箱椭球箱底屈曲载荷对向外的凹陷缺陷更为敏感。

初始几何缺陷对翼面结构承载能力影响

加筋板在轴压载荷下的承载能力受初始几何缺陷的影响,故而重构含几何缺陷的有限元模型以及分析缺陷对加筋板前屈曲/后屈曲特性影响均是值得深入研究的问题。为此,采用GMNIA(Geometrically and Material Nonlinear Analysis with Imperfections)方法分析了特征值模态缺陷的幅值、公式表达几何缺陷的形状对加筋板的承载能力的影响,并将承载能力进行了试验校验。研究结果表明:初始几何缺陷通过降低加筋板初始刚度对轴压载荷下加筋板的前屈曲行为有一定的影响,而初始缺陷的显著影响表现在后屈曲段,明显地表现为后屈曲路径和极限承载能力的差异。引入缺陷的加筋板轴压承载能力的有限元计算值与试验值相对误差均小于4.0%。因此,引入特征值模态缺陷和公式表达缺陷的GMNIA分析方法可用于加筋板轴压承载能力的工程设计。

输电线路行波测距数据的正弦拟合自动筛选方法

采用低门槛突变量启动的行波测距装置记录了故障数据和非故障干扰杂波。然而,行波测距需要的主要信息来自于故障初瞬数据,因此自动筛选出故障初瞬数据是实现行波测距的最基本条件。提出了利用正弦拟合的方法自动筛选故障初瞬数据。将行波测距装置记录的电流行波数据分为两段,分别对这两段数据进行正弦拟合的计算,再根据这两段数据的正弦拟合度和幅值计算数据的模态特征值,若计算得到的数据模态特征值大于设定阈值,则判断其为包含有效信息的故障初瞬数据;反之,则为非故障初瞬数据。大量实测数据计算表明,所提出的输电线路行波测距数据的正弦拟合自动筛选方法是可行的,且准确可靠。

A bearing fault feature extraction method based on cepstrum pre-whitening and a quantitative law of symplectic geometry mode decomposition

In order to extract the fault feature of the bearing effectively and prevent the impact components caused by bearing damage being interfered with by discrete frequency components and background noise,a method of fault feature extraction based on cepstrum pre-whitening(CPW)and a quantitative law of symplectic geometry mode decomposition(SGMD)is proposed.First,CPW is performed on the original signal to enhance the impact feature of bearing fault and remove the periodic frequency components from complex vibration signals.The pre-whitening signal contains only background noise and non-stationary shock caused by damage.Secondly,a quantitative law that the number of effective eigenvalues of the Hamilton matrix is twice the number of frequency components in the signal during SGMD is found,and the quantitative law is verified by simulation and theoretical derivation.Finally,the trajectory matrix of the pre-whitening signal is constructed and SGMD is performed.According to the quantitative law,the corresponding feature vector is selected to reconstruct the signal.The Hilbert envelope spectrum analysis is performed to extract fault features.Simulation analysis and application examples prove that the proposed method can clearly extract the fault feature of bearings.

平臂塔式起重机断绳卸载动力学仿真分析

本文以某型号平臂塔式起重机为研究对象,建立其动力学有限元仿真模型,获取了塔式起重机在吊载与不吊载两种状态下的模态特征值。同时结合试验测试获取的频率与阻尼参数对动力学仿真模型进行修正,以确保所创建的动力学仿真模型可反映平臂塔式起重机在断绳卸载工况下的真实动态响应。通过对平臂塔式起重机进行瞬态动力仿真分析,探讨了断绳卸载工况下的冲击载荷对平臂塔式起重机结构的强度的影响。

流线箱梁弯扭耦合气动力非线性特性与颤振行为预测

传统大跨度桥梁空气动力学颤振分析忽略了结构和气动力非线性,多用于预测颤振临界风速而难于对颤振后行为进行合理分析。为此,通过强迫振动试验对气动力叠加性进行详细考证,阐明其适用范围。在传统复模态特征值分析中引入了随幅值变化的结构阻尼比和颤振导数,实现了颤振后状态结构振幅的预测分析,并与风洞试验结果进行了对比验证。结果表明:试验范围(竖向振幅Ah/B≤1.0,扭转振幅Aα≤12°)内,流线箱梁断面弯扭耦合气动力近似满足叠加性;节段模型风洞试验中结构阻尼和气动力的幅值依赖性是系统非线性的主要表现形式,在复模态特征值分析中引入幅变的颤振导数和结构阻尼比可以较好地预测滞回颤振振幅随风速的变化关系。

拉杆式柱面温室网壳的稳定性能分析

双向网格型单层柱面网壳透光好,耗钢量低,适用于温室结构设计.为了进一步拓宽网壳跨度,通过布置拉杆的方式确保网壳具有足够的刚度,开发了大跨度拉杆式单层柱面温室网壳体系.本文以大规模参数分析作为研究手段,利用通用有限元程序ANSYS以及自编的前后处理程序,针对拉杆式柱面温室网壳开展800余例非线性全过程分析,通过结构极限承载力论证布杆方式的有效性,考察了屈曲模态、塑性发展分布等特征响应,总结长宽比、矢跨比、拉杆预应力、初始几何缺陷、荷载不对称分布等因素对温室网壳弹塑性稳定承载力的影响规律.为使温室网壳安全可靠度可以得到有效的保证,做到充分考虑初始几何缺陷对网壳结构稳定性能的影响,文中采用＂3σ＂原则对塑性折减系数进行重新核定,取值范围为0.60~0.88.

Parallel computing study for the large-scale generalized eigenvalue problems in modal analysis

In this paper we study the algorithms and their parallel implementation for solving large-scale generalized eigenvalue problems in modal analysis.Three predominant subspace algorithms,i.e.,Krylov-Schur method,implicitly restarted Arnoldi method and Jacobi-Davidson method,are modified with some complementary techniques to make them suitable for modal analysis.Detailed descriptions of the three algorithms are given.Based on these algorithms,a parallel solution procedure is established via the PANDA framework and its associated eigensolvers.Using the solution procedure on a machine equipped with up to 4800processors,the parallel performance of the three predominant methods is evaluated via numerical experiments with typical engineering structures,where the maximum testing scale attains twenty million degrees of freedom.The speedup curves for different cases are obtained and compared.The results show that the three methods are good for modal analysis in the scale of ten million degrees of freedom with a favorable parallel scalability.

Matrix perturbation based approach for sensitivity analysis of eigen-solutions in a microgrid

Sensitivities of eigen-solutions to control variables play an important role in microgrid studies,such as coordinated optimal design of controllers and parameters,robust stability analysis on control variables,oscillation modes analysis on a system,etc.Considering the importance of sensitivities and the complexity of state matrix in a microgrid,parameter perturbations are utilized in this paper to analyze the construction characteristics of state matrix.Then,the sensitivities of eigenvalues and eigenvectors to control variables are obtained based on the first-order matrix perturbation theory,which makes the complex derivations of sensitivity formulas and repeated solutions of eigenvalue problem unnecessary.Finally,the effectiveness of the matrix perturbation based approach for sensitivity calculation in a microgrid is verified by a numerical example on a low-voltage microgrid prototype.